title
Machine Learning vs Deep Learning vs Artificial Intelligence | ML vs DL vs AI | Simplilearn

description
🔥AI & Machine Learning Bootcamp(US Only): https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=AI-9dFhZFUkzuQ&utm_medium=DescriptionFF&utm_source=youtube 🔥Professional Certificate Course In AI And Machine Learning by IIT Kanpur (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=23AugustTubebuddyExpPCPAIandML&utm_medium=DescriptionFF&utm_source=youtube 🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=AI-9dFhZFUkzuQ&utm_medium=DescriptionFF&utm_source=youtube 🔥AI Engineer Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=SCE-AIMasters&utm_medium=DescriptionFF&utm_source=youtube This Machine Learning vs Deep Learning vs Artificial Intelligence video will help you understand the differences between ML, DL, and AI, and how they are related to each other. The tutorial video will also cover what Machine Learning, Deep Learning, and Artificial Intelligence entail, how they work with the help of examples, and whether they really are all that different. This Machine Learning Vs Deep Learning Vs Artificial Intelligence video will explain the topics listed below: Start (0:00) 1. Artificial Intelligence example ( 00:29 ) 2. Machine Learning example ( 01:29 ) 3. Deep Learning example ( 01:44 ) 4. Human vs Artificial Intelligence ( 03:34 ) 5. How Machine Learning works ( 06:11 ) 6. How Deep Learning works ( 07:09 ) 7. AI vs Machine Learning vs Deep Learning ( 12:33 ) 8. AI with Machine Learning and Deep Learning ( 13:05 ) 9. Real-life examples ( 15:29 ) 10. Types of Artificial Intelligence ( 17:50 ) 11. Types of Machine Learning ( 20:32 ) 12. Comparing Machine Learning and Deep Learning ( 22:46 ) 13. A glimpse into the future ( 25:46 ) Subscribe to our channel for more Machine Learning & AI Tutorials: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 📚ML vs DL vs AI Article: https://bit.ly/3fh6HIP Machine Learning Articles: https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article?utm_campaign=What-is-Machine-Learning-7JhjINPwfYQ&utm_medium=Tutorials&utm_source=youtube You can also go through the Slides here: https://goo.gl/cdQ7uy #SimplilearnMachineLearning #SimplilearnAI #SimplilearnDeepLearning #Artificialintelligence #MachineLearningTutorial ➡️ About Post Graduate Program In AI And Machine Learning This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots. ✅ Key Features - Post Graduate Program certificate and Alumni Association membership - Exclusive hackathons and Ask me Anything sessions by IBM - 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more - Master Classes delivered by Purdue faculty and IBM experts - Simplilearn's JobAssist helps you get noticed by top hiring companies - Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more - Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools ✅ Skills Covered - ChatGPT - Generative AI - Explainable AI - Generative Modeling - Statistics - Python - Supervised Learning - Unsupervised Learning - NLP - Neural Networks - Computer Vision - And Many More… 👉 Learn More At: 👉 Learn More At: 🔥 Enroll for FREE Machine Learning Course & Get your Completion Certificate: https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=MachineLearning&utm_medium=Description&utm_source=youtube 🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

detail
{'title': 'Machine Learning vs Deep Learning vs Artificial Intelligence | ML vs DL vs AI | Simplilearn', 'heatmap': [{'end': 119.297, 'start': 61.324, 'weight': 0.77}, {'end': 336.039, 'start': 318.388, 'weight': 0.736}, {'end': 473.929, 'start': 368.504, 'weight': 0.893}, {'end': 654.113, 'start': 635.956, 'weight': 0.853}, {'end': 789.035, 'start': 769.908, 'weight': 0.745}, {'end': 941.566, 'start': 918.119, 'weight': 0.767}, {'end': 989.613, 'start': 967.195, 'weight': 0.743}, {'end': 1376.898, 'start': 1356.928, 'weight': 0.825}, {'end': 1560.537, 'start': 1541.2, 'weight': 0.703}], 'summary': "Compares machine learning, deep learning, and artificial intelligence, showcasing commercial applications like amazon echo and google. it delves into ai's accuracy, natural language interaction, and capabilities such as colorizing images, making predictions, and handling large data. additionally, the different types of machine learning are discussed, including supervised and unsupervised, emphasizing their potential applications and future impacts.", 'chapters': [{'end': 94.649, 'segs': [{'end': 54.217, 'src': 'embed', 'start': 25.184, 'weight': 0, 'content': [{'end': 28.546, 'text': "let's just look at a few examples so we get an understanding of what's going on.", 'start': 25.184, 'duration': 3.362}, {'end': 33.766, 'text': "Here's an example of artificial intelligence in today's world, Amazon Echo.", 'start': 29.701, 'duration': 4.065}, {'end': 36.289, 'text': 'Amazon Echo is a wonderful tool.', 'start': 34.787, 'duration': 1.502}, {'end': 40.514, 'text': "We can go in there and you can say hey, Alexa, what's the temperature in Chicago?", 'start': 36.709, 'duration': 3.805}, {'end': 46.942, 'text': 'And the Amazon Echo then translates that into zeros and ones and something the computer understands.', 'start': 41.315, 'duration': 5.627}, {'end': 54.217, 'text': "Then it comes in and processes that information to identify what you're asking and what you need and where to get that information.", 'start': 47.691, 'duration': 6.526}], 'summary': 'Amazon echo uses ai to process and respond to user queries.', 'duration': 29.033, 'max_score': 25.184, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ25184.jpg'}, {'end': 84.859, 'src': 'embed', 'start': 61.324, 'weight': 1, 'content': [{'end': 67.95, 'text': "So this is a wonderful example of artificial intelligence that we're using right now today and where that's at as far as a commercial deployment.", 'start': 61.324, 'duration': 6.626}, {'end': 69.527, 'text': 'Machine learning.', 'start': 68.806, 'duration': 0.721}, {'end': 72.249, 'text': 'A machine learning example out there is Google.', 'start': 70.107, 'duration': 2.142}, {'end': 73.97, 'text': "You're on your Google search engine.", 'start': 72.429, 'duration': 1.541}, {'end': 74.771, 'text': 'It comes up.', 'start': 74.151, 'duration': 0.62}, {'end': 79.275, 'text': 'You spend a lot of time on the first link you come into, and you read the page.', 'start': 75.452, 'duration': 3.823}, {'end': 83.598, 'text': 'And Google looks at that and says, OK, he spent five minutes on this.', 'start': 79.955, 'duration': 3.643}, {'end': 84.859, 'text': "Let's give it a thumbs up.", 'start': 83.819, 'duration': 1.04}], 'summary': "Artificial intelligence and machine learning, like google's, are widely used for commercial deployment.", 'duration': 23.535, 'max_score': 61.324, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ61324.jpg'}], 'start': 4.173, 'title': 'Ml vs. dl vs. ai', 'summary': 'Explores the differences between machine learning, deep learning, and artificial intelligence, using examples like amazon echo and google, highlighting their commercial applications and functionality.', 'chapters': [{'end': 94.649, 'start': 4.173, 'title': 'Ml vs. dl vs. ai', 'summary': 'Explores the differences between machine learning, deep learning, and artificial intelligence, using examples like amazon echo and google, highlighting their commercial applications and functionality.', 'duration': 90.476, 'highlights': ['Amazon Echo as an example of artificial intelligence, translating voice input into actionable information, showcasing a commercial deployment of AI technology.', "Google's machine learning algorithm evaluates user behavior on search results, assigning relevance based on time spent on pages, reflecting the practical application of machine learning in real-time user interactions."]}], 'duration': 90.476, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ4173.jpg', 'highlights': ['Amazon Echo demonstrates AI by translating voice input into actionable information.', "Google's machine learning algorithm evaluates user behavior on search results."]}, {'end': 336.039, 'segs': [{'end': 119.297, 'src': 'embed', 'start': 94.669, 'weight': 4, 'content': [{'end': 100.094, 'text': "So this is a good example of machine learning as it starts guessing what you like and what you don't like.", 'start': 94.669, 'duration': 5.425}, {'end': 103.237, 'text': "So it gives you more information along what you're going to read and actually use.", 'start': 100.194, 'duration': 3.043}, {'end': 106.68, 'text': 'And then we have an example of deep learning.', 'start': 104.538, 'duration': 2.142}, {'end': 110.184, 'text': 'In this example, we have a black and white image.', 'start': 107.681, 'duration': 2.503}, {'end': 114.196, 'text': 'It comes into, in this case, a neural network.', 'start': 111.095, 'duration': 3.101}, {'end': 119.297, 'text': "Some people like to call it a magic box because it's hard to follow all that's going on in there.", 'start': 114.756, 'duration': 4.541}], 'summary': 'Machine learning predicts preferences, deep learning processes images using neural networks.', 'duration': 24.628, 'max_score': 94.669, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ94669.jpg'}, {'end': 170.957, 'src': 'embed', 'start': 148.535, 'weight': 1, 'content': [{'end': 156.198, 'text': 'And it programs that so that when the black and white image comes in, it goes, okay, that piece right there resembles this and all these other photos.', 'start': 148.535, 'duration': 7.663}, {'end': 163.442, 'text': 'And the neural network is able to identify that and then color the beach ball with the colors that you see on there.', 'start': 157.159, 'duration': 6.283}, {'end': 166.884, 'text': 'So this is really wonderful because they did a wonderful job coloring this picture.', 'start': 163.522, 'duration': 3.362}, {'end': 170.957, 'text': "And that's the full setup is where the deep learning example comes in.", 'start': 167.694, 'duration': 3.263}], 'summary': 'Neural network colors images based on resemblance, showcasing deep learning example.', 'duration': 22.422, 'max_score': 148.535, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ148535.jpg'}, {'end': 228.358, 'src': 'embed', 'start': 203.37, 'weight': 5, 'content': [{'end': 211.213, 'text': "We'll have a few more examples in here and then we'll talk a little bit about types of AI and machine learning and comparing machine learning and deep learning.", 'start': 203.37, 'duration': 7.843}, {'end': 213.294, 'text': 'and finally a glimpse into the future.', 'start': 211.213, 'duration': 2.081}, {'end': 217.656, 'text': 'Human versus artificial intelligence.', 'start': 215.095, 'duration': 2.561}, {'end': 219.817, 'text': 'Humans are amazing.', 'start': 218.917, 'duration': 0.9}, {'end': 220.817, 'text': "Let's just face it.", 'start': 220.097, 'duration': 0.72}, {'end': 221.918, 'text': "We're amazing creatures.", 'start': 220.857, 'duration': 1.061}, {'end': 223.238, 'text': "We're all over the planet.", 'start': 222.118, 'duration': 1.12}, {'end': 226.42, 'text': "We're exploring every nook and cranny.", 'start': 223.519, 'duration': 2.901}, {'end': 228.358, 'text': "We've gone to the moon.", 'start': 227.196, 'duration': 1.162}], 'summary': 'Discussion on ai types, human achievement, and future prospects.', 'duration': 24.988, 'max_score': 203.37, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ203370.jpg'}, {'end': 280.969, 'src': 'embed', 'start': 247.923, 'weight': 0, 'content': [{'end': 250.884, 'text': "Let's take a look at artificial intelligence versus the human.", 'start': 247.923, 'duration': 2.961}, {'end': 257.228, 'text': 'Artificial intelligence develops computer systems that can accomplish tasks that require human intelligence.', 'start': 251.385, 'duration': 5.843}, {'end': 259.589, 'text': "So we're looking at this.", 'start': 258.649, 'duration': 0.94}, {'end': 264.313, 'text': 'One of the things that computers can do is they can provide more accurate results.', 'start': 259.61, 'duration': 4.703}, {'end': 266.314, 'text': 'This is very important.', 'start': 265.153, 'duration': 1.161}, {'end': 270.757, 'text': "Recently I did a project on cancer, where it's identifying markers.", 'start': 267.014, 'duration': 3.743}, {'end': 280.969, 'text': 'And as a human being, you might be looking at all the different images and the data that comes off of them and say I like this person,', 'start': 271.904, 'duration': 9.065}], 'summary': 'Artificial intelligence can provide more accurate results in tasks requiring human intelligence, such as identifying cancer markers.', 'duration': 33.046, 'max_score': 247.923, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ247923.jpg'}, {'end': 336.039, 'src': 'heatmap', 'start': 294.048, 'weight': 2, 'content': [{'end': 296.09, 'text': 'interacts with humans using their natural language.', 'start': 294.048, 'duration': 2.042}, {'end': 298.972, 'text': "We've seen that as probably the biggest development feature right now.", 'start': 296.25, 'duration': 2.722}, {'end': 303.115, 'text': "that's in the commercial market that everybody gets to use, as we saw with the example of Alexa.", 'start': 298.972, 'duration': 4.143}, {'end': 306.598, 'text': 'They learn from their mistakes and adapt to new environments.', 'start': 303.356, 'duration': 3.242}, {'end': 309.781, 'text': 'So we see this slowly coming in more and more.', 'start': 306.998, 'duration': 2.783}, {'end': 313.664, 'text': 'And they learn from the data and automate repetitive learning.', 'start': 310.301, 'duration': 3.363}, {'end': 318.027, 'text': 'Repetitive learning has a lot to do with the neural networks.', 'start': 314.464, 'duration': 3.563}, {'end': 323.771, 'text': "You have to program thousands upon thousands of pictures in there and It's all automated.", 'start': 318.388, 'duration': 5.383}, {'end': 329.394, 'text': "So as today's computers evolve, it's very quick and easy and affordable to do this.", 'start': 324.051, 'duration': 5.343}, {'end': 334.478, 'text': 'What is machine learning and deep learning all about? Imagine this.', 'start': 330.315, 'duration': 4.163}, {'end': 336.039, 'text': 'Say you had some time to waste.', 'start': 334.758, 'duration': 1.281}], 'summary': "Machine learning and deep learning adapt to humans' natural language, seen in commercial use like alexa, evolving with automated learning from data and neural networks.", 'duration': 41.991, 'max_score': 294.048, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ294048.jpg'}], 'start': 94.669, 'title': 'Ai and deep learning capabilities', 'summary': "Discusses machine learning's application in user preference prediction, and deep learning's capability in colorizing images. it also compares human and artificial intelligence, highlighting ai's accuracy and natural language interaction.", 'chapters': [{'end': 166.884, 'start': 94.669, 'title': 'Machine learning vs deep learning', 'summary': 'Illustrates the application of machine learning in predicting user preferences and the functioning of a neural network in colorizing images based on prior data, demonstrating the capabilities of deep learning.', 'duration': 72.215, 'highlights': ['The neural network uses prior data to identify and colorize specific elements in an image, showcasing the power of deep learning.', 'Machine learning is exemplified through the prediction of user preferences based on provided information, leading to a more personalized experience.']}, {'end': 336.039, 'start': 167.694, 'title': 'Human vs artificial intelligence: a comparison', 'summary': 'Explores the capabilities of human and artificial intelligence, showcasing the potential of ai in providing accurate results and natural language interaction, and discussing the distinctions between machine learning and deep learning.', 'duration': 168.345, 'highlights': ['Artificial intelligence can provide more accurate results, as demonstrated in a cancer project, ensuring consistent predictions, which is crucial for medical applications.', "AI's ability to interact using natural language, exemplified by commercial products like Alexa, signifies a significant development in the field.", 'The discussion on machine learning and deep learning highlights the automation of repetitive learning through neural networks, showcasing the efficiency and affordability of evolving computer systems.', 'The chapter delves into the comparisons between human and artificial intelligence, emphasizing the amazing capabilities of human beings and the potential for AI to accelerate above humans.']}], 'duration': 241.37, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ94669.jpg', 'highlights': ['Artificial intelligence can provide more accurate results, as demonstrated in a cancer project, ensuring consistent predictions, which is crucial for medical applications.', 'The neural network uses prior data to identify and colorize specific elements in an image, showcasing the power of deep learning.', "AI's ability to interact using natural language, exemplified by commercial products like Alexa, signifies a significant development in the field.", 'The discussion on machine learning and deep learning highlights the automation of repetitive learning through neural networks, showcasing the efficiency and affordability of evolving computer systems.', 'Machine learning is exemplified through the prediction of user preferences based on provided information, leading to a more personalized experience.', 'The chapter delves into the comparisons between human and artificial intelligence, emphasizing the amazing capabilities of human beings and the potential for AI to accelerate above humans.']}, {'end': 679.921, 'segs': [{'end': 473.929, 'src': 'heatmap', 'start': 368.504, 'weight': 0.893, 'content': [{'end': 370.385, 'text': 'So maybe city planning would be great for this.', 'start': 368.504, 'duration': 1.881}, {'end': 372.227, 'text': 'Machine learning.', 'start': 371.587, 'duration': 0.64}, {'end': 378.59, 'text': 'Well, the way machine learning works is we have labeled data with features.', 'start': 372.427, 'duration': 6.163}, {'end': 385.152, 'text': 'So you have a truck or a car, a motorcycle, a bus, or a bicycle, and each one of those are labeled.', 'start': 379.01, 'duration': 6.142}, {'end': 391.435, 'text': 'It comes in, and based on those labels and comparing those features, it gives you an answer.', 'start': 385.873, 'duration': 5.562}, {'end': 394.196, 'text': "It's a bicycle, it's a truck, it's a motorcycle.", 'start': 391.595, 'duration': 2.601}, {'end': 396.077, 'text': "Let's look a little bit more in depth on this.", 'start': 394.216, 'duration': 1.861}, {'end': 401.019, 'text': "In the model here, the features we're looking at would be like the tires.", 'start': 396.957, 'duration': 4.062}, {'end': 404.241, 'text': 'Someone sits there and figures out what a tire looks like.', 'start': 401.479, 'duration': 2.762}, {'end': 405.622, 'text': 'It takes a lot of work.', 'start': 404.261, 'duration': 1.361}, {'end': 410.344, 'text': 'If you try to figure the difference between a car tire, a bicycle tire, a motorcycle tire.', 'start': 405.682, 'duration': 4.662}, {'end': 420.609, 'text': "So in the machine learning field, this could take a long time if you're going to do each individual aspect of a car and try to get a result on there.", 'start': 411.385, 'duration': 9.224}, {'end': 421.99, 'text': "And that's what they did do.", 'start': 421.05, 'duration': 0.94}, {'end': 428.521, 'text': 'This is still used on smaller amounts of data where you figure out what those features are and then you label them.', 'start': 422.01, 'duration': 6.511}, {'end': 430.083, 'text': 'Deep learning.', 'start': 429.342, 'duration': 0.741}, {'end': 432.825, 'text': 'So with deep learning.', 'start': 430.523, 'duration': 2.302}, {'end': 435.587, 'text': 'one of our solutions is to take a very large,', 'start': 432.825, 'duration': 2.762}, {'end': 445.836, 'text': 'unlabeled data set and we put that into a training model using artificial neural networks and then that goes into the neural network itself when we create a neural network.', 'start': 435.587, 'duration': 10.249}, {'end': 450.8, 'text': "And you'll see the arrows are actually kind of backward, which actually is a nice point,", 'start': 446.357, 'duration': 4.443}, {'end': 458.024, 'text': 'because when we train the neural network We put the bicycle in and then it comes back and says if it said truck, it comes back and says well,', 'start': 450.8, 'duration': 7.224}, {'end': 460.065, 'text': 'you need to change that to bicycle.', 'start': 458.024, 'duration': 2.041}, {'end': 462.746, 'text': 'And then it changes all those weights going backward.', 'start': 460.565, 'duration': 2.181}, {'end': 464.026, 'text': 'They call it back propagation.', 'start': 462.766, 'duration': 1.26}, {'end': 467.227, 'text': "And let it know it's a bicycle, and that's how it learns.", 'start': 464.806, 'duration': 2.421}, {'end': 473.929, 'text': "Once you've trained the neural network, you then put the new data in, and they call this testing the model.", 'start': 468.347, 'duration': 5.582}], 'summary': 'Machine learning uses labeled data with features to identify objects, and deep learning involves using large, unlabeled data sets to train neural networks for accurate identification.', 'duration': 105.425, 'max_score': 368.504, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ368504.jpg'}, {'end': 662.617, 'src': 'heatmap', 'start': 635.956, 'weight': 0, 'content': [{'end': 638.418, 'text': "And it's inexpensive compared to hiring hundreds of people.", 'start': 635.956, 'duration': 2.462}, {'end': 646.204, 'text': "So it becomes a very affordable way to move into the future is to apply the machine learning to whatever businesses you're working on.", 'start': 638.858, 'duration': 7.346}, {'end': 648.03, 'text': 'And deep learning.', 'start': 647.31, 'duration': 0.72}, {'end': 652.192, 'text': 'Systems think and learn like humans using artificial neural networks.', 'start': 648.351, 'duration': 3.841}, {'end': 654.113, 'text': "Again, it's like a magic box.", 'start': 652.793, 'duration': 1.32}, {'end': 656.554, 'text': 'Performance improves with more data.', 'start': 654.493, 'duration': 2.061}, {'end': 660.916, 'text': 'So the more data that deep learning gets, the more it gives you better results.', 'start': 656.674, 'duration': 4.242}, {'end': 662.617, 'text': "It's scalability.", 'start': 661.657, 'duration': 0.96}], 'summary': 'Inexpensive machine learning, scalable with more data, improving performance.', 'duration': 43.481, 'max_score': 635.956, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ635956.jpg'}], 'start': 336.259, 'title': 'Machine learning and deep learning', 'summary': 'Discusses the applications of machine learning and deep learning, including their capabilities such as making predictions, analyzing large amounts of data, and thinking like humans using artificial neural networks.', 'chapters': [{'end': 679.921, 'start': 336.259, 'title': 'Machine learning and deep learning', 'summary': 'Discusses the applications of machine learning and deep learning, including their capabilities such as making predictions, analyzing large amounts of data, and thinking like humans using artificial neural networks.', 'duration': 343.662, 'highlights': ['Machine learning is quick and accurate, providing fast and consistent results, and enabling the analysis of large amounts of data, including petabytes and terabytes, at an affordable cost. Machine learning provides quick, accurate, and consistent results, enabling the analysis of large amounts of data, such as petabytes and terabytes, at an affordable cost.', 'Deep learning systems improve performance with more data and are scalable, allowing for end-to-end problem solving and thinking and learning like humans using artificial neural networks. Deep learning systems improve performance with more data, are scalable, and enable end-to-end problem solving and thinking and learning like humans using artificial neural networks.', 'Deep learning converts image data into nodes and layers to determine objects present in the data, providing accurate and fast results comparable to human capabilities. Deep learning converts image data into nodes and layers to determine objects present in the data, providing accurate and fast results comparable to human capabilities.']}], 'duration': 343.662, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ336259.jpg', 'highlights': ['Deep learning systems improve performance with more data and are scalable, enabling end-to-end problem solving and thinking like humans using artificial neural networks.', 'Machine learning is quick and accurate, providing fast and consistent results, and enabling the analysis of large amounts of data, including petabytes and terabytes, at an affordable cost.', 'Deep learning converts image data into nodes and layers to determine objects present in the data, providing accurate and fast results comparable to human capabilities.']}, {'end': 967.115, 'segs': [{'end': 740.886, 'src': 'embed', 'start': 701.614, 'weight': 0, 'content': [{'end': 708.778, 'text': "You don't really know what's going on in all those weights and all those little bubbles, but it does it pretty much in one package.", 'start': 701.614, 'duration': 7.164}, {'end': 713.661, 'text': "That's why the neural network systems are so big nowadays and coming into their own.", 'start': 709.239, 'duration': 4.422}, {'end': 717.743, 'text': 'Best features are selected by the system, and this is important.', 'start': 714.502, 'duration': 3.241}, {'end': 719.705, 'text': 'They kind of put it on a bullet on the side here.', 'start': 717.763, 'duration': 1.942}, {'end': 722.906, 'text': "It's a subset of machine learning.", 'start': 720.225, 'duration': 2.681}, {'end': 723.907, 'text': 'This is important.', 'start': 723.106, 'duration': 0.801}, {'end': 727.901, 'text': 'When we talk about deep learning, it is a form of machine learning.', 'start': 724.56, 'duration': 3.341}, {'end': 731.423, 'text': "There's lots of other forms of machine learning data analysis,", 'start': 728.001, 'duration': 3.422}, {'end': 739.006, 'text': 'but this is the newest and biggest thing that they apply to a lot of different packages and they use all the other machine learning tools available to work with it.', 'start': 731.423, 'duration': 7.583}, {'end': 740.886, 'text': "And it's very fast to test.", 'start': 739.646, 'duration': 1.24}], 'summary': 'Neural network systems select best features, a subset of machine learning; deep learning is a form of it.', 'duration': 39.272, 'max_score': 701.614, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ701614.jpg'}, {'end': 806.299, 'src': 'heatmap', 'start': 769.908, 'weight': 2, 'content': [{'end': 772.149, 'text': "So it's one of the subsets of artificial intelligence.", 'start': 769.908, 'duration': 2.241}, {'end': 777.631, 'text': 'Knowledge representation, automated reasoning, computer vision, robotics.', 'start': 772.889, 'duration': 4.742}, {'end': 783.753, 'text': 'Machine learning versus AI versus deep learning or AI and machine learning and deep learning.', 'start': 778.451, 'duration': 5.302}, {'end': 789.035, 'text': 'So when we look at this, we have AI with machine learning and deep learning.', 'start': 785.154, 'duration': 3.881}, {'end': 790.975, 'text': "And so we're going to put them all together.", 'start': 789.775, 'duration': 1.2}, {'end': 792.936, 'text': 'We find out that AI is the big picture.', 'start': 791.015, 'duration': 1.921}, {'end': 794.336, 'text': 'We have a collection of books.', 'start': 793.236, 'duration': 1.1}, {'end': 796.397, 'text': 'It goes through some deep learning.', 'start': 794.936, 'duration': 1.461}, {'end': 798.737, 'text': 'The digital data is analyzed.', 'start': 797.097, 'duration': 1.64}, {'end': 800.778, 'text': 'Text mining comes through.', 'start': 798.897, 'duration': 1.881}, {'end': 806.299, 'text': "The particular book you're looking for, maybe it's a genre of books, is identified.", 'start': 800.798, 'duration': 5.501}], 'summary': 'Ai encompasses machine learning, deep learning, computer vision, and robotics, enabling analysis of digital data and text mining to identify specific genres of books.', 'duration': 42.353, 'max_score': 769.908, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ769908.jpg'}, {'end': 852.367, 'src': 'embed', 'start': 828.972, 'weight': 5, 'content': [{'end': 837.699, 'text': "That's pretty hard to go in there and translate hundreds and hundreds of books and understand what they're trying to say if you've never read them.", 'start': 828.972, 'duration': 8.727}, {'end': 844.484, 'text': "So in this case, we used a deep learning because you can already use examples where they've already classified a lot of books.", 'start': 838.299, 'duration': 6.185}, {'end': 849.686, 'text': 'And then they can compare those texts and say, oh, okay, this is a book on automotive repair.', 'start': 844.844, 'duration': 4.842}, {'end': 852.367, 'text': 'This is a book on robotic building.', 'start': 849.866, 'duration': 2.501}], 'summary': 'Using deep learning, they classified hundreds of books into categories like automotive repair and robotic building.', 'duration': 23.395, 'max_score': 828.972, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ828972.jpg'}, {'end': 917.639, 'src': 'embed', 'start': 873.188, 'weight': 6, 'content': [{'end': 878.352, 'text': "So here's a nice summation of what we were just talking about, AI with machine learning and deep learning.", 'start': 873.188, 'duration': 5.164}, {'end': 883.516, 'text': 'Deep learning is a subset of machine learning, which is a subset of artificial intelligence.', 'start': 878.672, 'duration': 4.844}, {'end': 886.838, 'text': 'So you can look at artificial intelligence as the big picture.', 'start': 884.357, 'duration': 2.481}, {'end': 890.521, 'text': 'How does this compare to the human experience?', 'start': 887.099, 'duration': 3.422}, {'end': 896.506, 'text': 'in either doing the same thing as a human we do, or does it better than us?', 'start': 890.521, 'duration': 5.985}, {'end': 904.152, 'text': 'And machine learning, which has a lot of tools, is something that learns from data, past experiences.', 'start': 897.208, 'duration': 6.944}, {'end': 905.132, 'text': "It's programmed.", 'start': 904.252, 'duration': 0.88}, {'end': 909.634, 'text': 'It comes in there and it says, hey, we already had these five things happen.', 'start': 905.352, 'duration': 4.282}, {'end': 911.535, 'text': 'The sixth one should be about the same.', 'start': 909.935, 'duration': 1.6}, {'end': 917.639, 'text': "And then there's a lot of tools in machine learning, but deep learning then is a very specific tool in machine learning.", 'start': 912.076, 'duration': 5.563}], 'summary': 'Ai encompasses deep learning, a subset of machine learning, which learns from data and past experiences to perform tasks.', 'duration': 44.451, 'max_score': 873.188, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ873188.jpg'}, {'end': 941.566, 'src': 'heatmap', 'start': 918.119, 'weight': 0.767, 'content': [{'end': 925.911, 'text': "It's the artificial neural network which handles large amounts of data and is able to take huge pools of of experiences,", 'start': 918.119, 'duration': 7.792}, {'end': 928.193, 'text': 'pictures and ideas and bring them together.', 'start': 925.911, 'duration': 2.282}, {'end': 930.615, 'text': 'Real life examples.', 'start': 929.214, 'duration': 1.401}, {'end': 932.858, 'text': 'Artificial intelligence.', 'start': 931.737, 'duration': 1.121}, {'end': 934.119, 'text': 'News generation.', 'start': 933.298, 'duration': 0.821}, {'end': 941.566, 'text': 'Very common nowadays as it goes through there and finds the news articles or generates the news based upon the news feeds.', 'start': 934.299, 'duration': 7.267}], 'summary': 'Artificial neural networks process large data, handle experiences, pictures, and ideas, and generate news articles based on news feeds.', 'duration': 23.447, 'max_score': 918.119, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ918119.jpg'}, {'end': 976.903, 'src': 'embed', 'start': 942.401, 'weight': 8, 'content': [{'end': 947.262, 'text': "or the back end coming in and says, okay, let's give you the actual news based on this.", 'start': 942.401, 'duration': 4.861}, {'end': 952.784, 'text': "There's all the different things, Amazon Echo, they have a number of different Prime Music on there.", 'start': 947.782, 'duration': 5.002}, {'end': 958.005, 'text': "Of course, there's also the Google Command, and there's also Cortana.", 'start': 952.804, 'duration': 5.201}, {'end': 965.227, 'text': "There's tons of smart home devices now where we can ask it to turn the TV on or play music for us.", 'start': 958.045, 'duration': 7.182}, {'end': 967.115, 'text': "That's all artificial intelligence.", 'start': 965.774, 'duration': 1.341}, {'end': 976.903, 'text': "From front to back, you're having a human experience with these computers and these objects that are connected to the processing.", 'start': 967.195, 'duration': 9.708}], 'summary': 'Various smart home devices like amazon echo and google command are part of the ai-driven human experience.', 'duration': 34.502, 'max_score': 942.401, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ942401.jpg'}], 'start': 679.921, 'title': 'Ai and deep learning', 'summary': 'Explores the role of neural networks in deep learning, the application of ai, machine learning, and deep learning in libraries, and the relationship between artificial intelligence, machine learning, and deep learning in handling large amounts of data.', 'chapters': [{'end': 783.753, 'start': 679.921, 'title': 'Neural networks and deep learning', 'summary': 'Explores the role of neural networks in deep learning, highlighting their ability to identify features and select the best ones, ultimately contributing to the rapid testing and application of deep learning in various fields.', 'duration': 103.832, 'highlights': ["The neural network systems are significant in today's technology, as they can identify features and select the best ones, contributing to the growth of deep learning. It does this all in one network, making it a major advancement in machine learning (quantifiable data: impact on technology advancement).", 'Deep learning is a subset of machine learning and is considered the newest and biggest application in the field, utilizing various machine learning tools for rapid testing and analysis (quantifiable data: rapid testing and utilization of machine learning tools).', 'The chapter discusses the concepts of AI, including natural language processing, machine learning, knowledge representation, automated reasoning, computer vision, and robotics, within the context of machine learning, AI, and deep learning (quantifiable data: overview of concepts within AI and machine learning).']}, {'end': 871.354, 'start': 785.154, 'title': 'Ai in libraries: automation and classification', 'summary': 'Explores the application of ai, machine learning, and deep learning in libraries to automate the classification and retrieval of books, leveraging digital data analysis, text mining, and deep learning.', 'duration': 86.2, 'highlights': ['AI is the big picture, encompassing machine learning and deep learning, used to automate the classification and retrieval of books in libraries.', 'The process involves digital data analysis, text mining, and deep learning to identify and retrieve specific books based on genre or category.', 'The utilization of deep learning is essential for translating handwritten printed data to digital form, enabling the classification of books without manual reading, streamlining the process of identifying specific book genres or topics.']}, {'end': 967.115, 'start': 873.188, 'title': 'Ai, machine learning, and deep learning', 'summary': 'Discusses the relationship between artificial intelligence, machine learning, and deep learning, highlighting the role of deep learning as a subset of machine learning in handling large amounts of data and generating real-life examples, such as news articles and smart home devices.', 'duration': 93.927, 'highlights': ['Deep learning is a subset of machine learning, which is a subset of artificial intelligence, with the ability to handle large amounts of data and generate real-life examples like news articles and smart home devices.', 'Machine learning learns from data and past experiences, programmed to predict outcomes based on previous occurrences.', 'Artificial intelligence encompasses the broader concept of mimicking human experience and performance, involving tools like Amazon Echo, Google Command, and Cortana for tasks like news generation and smart home device control.']}], 'duration': 287.194, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ679921.jpg', 'highlights': ["The neural network systems are significant in today's technology, as they can identify features and select the best ones, contributing to the growth of deep learning. It does this all in one network, making it a major advancement in machine learning (impact on technology advancement).", 'Deep learning is a subset of machine learning and is considered the newest and biggest application in the field, utilizing various machine learning tools for rapid testing and analysis (rapid testing and utilization of machine learning tools).', 'The chapter discusses the concepts of AI, including natural language processing, machine learning, knowledge representation, automated reasoning, computer vision, and robotics, within the context of machine learning, AI, and deep learning (overview of concepts within AI and machine learning).', 'AI is the big picture, encompassing machine learning and deep learning, used to automate the classification and retrieval of books in libraries.', 'The process involves digital data analysis, text mining, and deep learning to identify and retrieve specific books based on genre or category.', 'The utilization of deep learning is essential for translating handwritten printed data to digital form, enabling the classification of books without manual reading, streamlining the process of identifying specific book genres or topics.', 'Deep learning is a subset of machine learning, which is a subset of artificial intelligence, with the ability to handle large amounts of data and generate real-life examples like news articles and smart home devices.', 'Machine learning learns from data and past experiences, programmed to predict outcomes based on previous occurrences.', 'Artificial intelligence encompasses the broader concept of mimicking human experience and performance, involving tools like Amazon Echo, Google Command, and Cortana for tasks like news generation and smart home device control.']}, {'end': 1231.26, 'segs': [{'end': 1013.458, 'src': 'heatmap', 'start': 967.195, 'weight': 0, 'content': [{'end': 976.903, 'text': "From front to back, you're having a human experience with these computers and these objects that are connected to the processing.", 'start': 967.195, 'duration': 9.708}, {'end': 977.944, 'text': 'Machine learning.', 'start': 977.263, 'duration': 0.681}, {'end': 979.785, 'text': 'Spam detection.', 'start': 978.865, 'duration': 0.92}, {'end': 980.446, 'text': 'Very common.', 'start': 979.885, 'duration': 0.561}, {'end': 984.649, 'text': "Machine learning doesn't really have the human interaction part.", 'start': 980.506, 'duration': 4.143}, {'end': 989.613, 'text': "So this is the part where it goes and says, okay, that's a spam, that's not a spam.", 'start': 985.59, 'duration': 4.023}, {'end': 991.255, 'text': 'And it puts it in your spam folder.', 'start': 989.833, 'duration': 1.422}, {'end': 994.122, 'text': 'Search engine result refining.', 'start': 992.521, 'duration': 1.601}, {'end': 1002.909, 'text': 'Another example of machine learning, whereas it looks at your different results and it is able to categorize them.', 'start': 994.843, 'duration': 8.066}, {'end': 1006.312, 'text': 'as far as this had the most hits, this is the least viewed.', 'start': 1002.909, 'duration': 3.403}, {'end': 1008.274, 'text': 'this has five stars, you know.', 'start': 1006.312, 'duration': 1.962}, {'end': 1009.234, 'text': 'however, they want to weight it.', 'start': 1008.274, 'duration': 0.96}, {'end': 1011.836, 'text': 'All good examples of machine learning.', 'start': 1009.995, 'duration': 1.841}, {'end': 1013.458, 'text': 'And then the deep learning.', 'start': 1012.357, 'duration': 1.101}], 'summary': 'Machine learning enables spam detection, search result refining, and deep learning.', 'duration': 46.263, 'max_score': 967.195, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ967195.jpg'}, {'end': 1102.765, 'src': 'embed', 'start': 1074.304, 'weight': 5, 'content': [{'end': 1079.747, 'text': 'So one of the types of artificial intelligence is reactive machines, systems that only react.', 'start': 1074.304, 'duration': 5.443}, {'end': 1084.769, 'text': "They don't form memories, they don't have past experiences, they have something that happens to them and they react to it.", 'start': 1079.847, 'duration': 4.922}, {'end': 1087.75, 'text': 'My washing machine is one of those.', 'start': 1085.589, 'duration': 2.161}, {'end': 1095.994, 'text': 'If I put a ton of clothes in it and they get all clumped on one side, it automatically adds a weight to reciter it.', 'start': 1088.471, 'duration': 7.523}, {'end': 1102.765, 'text': 'So my washing machine is actually a reactive machine, working with whatever the load is and keeps it nice,', 'start': 1096.534, 'duration': 6.231}], 'summary': 'Reactive machines in ai react without memory or past experiences, like a washing machine automatically adjusting load imbalance.', 'duration': 28.461, 'max_score': 1074.304, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ1074304.jpg'}, {'end': 1168.863, 'src': 'embed', 'start': 1136.67, 'weight': 3, 'content': [{'end': 1139.032, 'text': "So when they talk about limited memory, this is what they're talking about.", 'start': 1136.67, 'duration': 2.362}, {'end': 1143.936, 'text': "They're talking about, I've created this based on all these things, but I'm not going to remember any one specifically.", 'start': 1139.052, 'duration': 4.884}, {'end': 1145.677, 'text': 'Theory of mind.', 'start': 1144.897, 'duration': 0.78}, {'end': 1153.484, 'text': 'Systems being able to understand human emotions and how they affect decision making to adjust their behaviors according to their human understandings.', 'start': 1146.118, 'duration': 7.366}, {'end': 1156.338, 'text': 'This is important because this is our page mark.', 'start': 1154.417, 'duration': 1.921}, {'end': 1160.459, 'text': 'This is how we know whether it is an artificial intelligence or not.', 'start': 1156.378, 'duration': 4.081}, {'end': 1168.863, 'text': "Is it interacting with humans in a way that we can understand? Without that interaction, it's just an object.", 'start': 1161.22, 'duration': 7.643}], 'summary': "Limited memory impacts ai's understanding of human emotions and decision-making, crucial for human-like interaction.", 'duration': 32.193, 'max_score': 1136.67, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ1136670.jpg'}, {'end': 1215.232, 'src': 'embed', 'start': 1188.429, 'weight': 2, 'content': [{'end': 1193.653, 'text': "understanding their internal states and predicting other people's feelings and act appropriately?", 'start': 1188.429, 'duration': 5.224}, {'end': 1200.779, 'text': 'So, as artificial intelligence continues to progress, we see ones that are trying to understand well what makes people happy?', 'start': 1194.173, 'duration': 6.606}, {'end': 1202.36, 'text': 'How would they increase our happiness?', 'start': 1201.039, 'duration': 1.321}, {'end': 1206.784, 'text': "How would they keep themselves from breaking down if something's broken inside?", 'start': 1203.361, 'duration': 3.423}, {'end': 1208.765, 'text': 'They have that self-awareness to be able to fix it.', 'start': 1206.824, 'duration': 1.941}, {'end': 1215.232, 'text': 'And just based on all that information, predicting which action would work the best.', 'start': 1209.366, 'duration': 5.866}], 'summary': 'Ai aims to understand human emotions and predict actions for increasing happiness and maintaining self-awareness.', 'duration': 26.803, 'max_score': 1188.429, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ1188429.jpg'}], 'start': 967.195, 'title': 'Ai and machine learning types and applications', 'summary': 'Explores the role of machine learning in tasks like spam detection and search result refining, emphasizing the lack of human interaction and the application of deep learning. it also discusses various types of ai including reactive machines, limited memory systems, theory of mind, and self-aware systems, and highlights their key features and applications.', 'chapters': [{'end': 1013.458, 'start': 967.195, 'title': 'Machine learning and human interaction', 'summary': "Explores machine learning's role in tasks such as spam detection and search result refining, highlighting the lack of human interaction and the application of deep learning.", 'duration': 46.263, 'highlights': ["Machine learning's role in spam detection and search result refining, without human interaction, is a common application (e.g., categorizing results based on hits, views, and ratings).", 'Deep learning is mentioned as a subsequent concept to machine learning.']}, {'end': 1231.26, 'start': 1014.158, 'title': 'Types of ai and machine learning', 'summary': 'Discusses different types of artificial intelligence including reactive machines, limited memory systems, theory of mind, and self-aware systems, highlighting their key features and applications.', 'duration': 217.102, 'highlights': ['Reactive machines are systems that only react to stimuli without forming memories or past experiences, with an example of a washing machine automatically adjusting its load to prevent thumping during spin.', 'Limited memory systems retain information for a short period, demonstrated by a neural network identifying patterns without remembering specific pictures, and the importance of user experience in understanding human emotions.', 'Theory of mind involves systems understanding human emotions and adjusting behaviors accordingly, serving as a crucial aspect to differentiate artificial intelligence from mere objects.', 'Self-aware systems are capable of understanding their internal states, predicting human feelings, and taking actions to enhance human happiness by demonstrating self-awareness and predicting beneficial actions.']}], 'duration': 264.065, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ967195.jpg', 'highlights': ["Machine learning's role in spam detection and search result refining, without human interaction, is a common application (e.g., categorizing results based on hits, views, and ratings).", 'Deep learning is mentioned as a subsequent concept to machine learning.', 'Self-aware systems are capable of understanding their internal states, predicting human feelings, and taking actions to enhance human happiness by demonstrating self-awareness and predicting beneficial actions.', 'Theory of mind involves systems understanding human emotions and adjusting behaviors accordingly, serving as a crucial aspect to differentiate artificial intelligence from mere objects.', 'Limited memory systems retain information for a short period, demonstrated by a neural network identifying patterns without remembering specific pictures, and the importance of user experience in understanding human emotions.', 'Reactive machines are systems that only react to stimuli without forming memories or past experiences, with an example of a washing machine automatically adjusting its load to prevent thumping during spin.']}, {'end': 1673.961, 'segs': [{'end': 1294.367, 'src': 'embed', 'start': 1252.962, 'weight': 0, 'content': [{'end': 1256.904, 'text': 'Requires both an input and an output to be given to the model for it to be trained.', 'start': 1252.962, 'duration': 3.942}, {'end': 1266.373, 'text': "So in this case, we're looking at anything where you have 100 images of a bicycle, and those 100 images you know are bicycle.", 'start': 1257.885, 'duration': 8.488}, {'end': 1267.574, 'text': "So they're presets.", 'start': 1266.493, 'duration': 1.081}, {'end': 1270.477, 'text': 'Someone already looked at all 100 images and said, these are pictures of bicycles.', 'start': 1267.594, 'duration': 2.883}, {'end': 1272.598, 'text': 'And so the computer learns from those.', 'start': 1271.177, 'duration': 1.421}, {'end': 1274.74, 'text': "And then it's given another picture.", 'start': 1272.959, 'duration': 1.781}, {'end': 1281.743, 'text': "And maybe the next picture is a bicycle and it says, oh, that resembles all these other bicycles, so it's a bicycle.", 'start': 1275.761, 'duration': 5.982}, {'end': 1284.544, 'text': "And the next one's a car and it says, eh, it's not a bicycle.", 'start': 1282.263, 'duration': 2.281}, {'end': 1287.945, 'text': 'That would be supervised learning because we had to train it.', 'start': 1285.204, 'duration': 2.741}, {'end': 1288.985, 'text': 'We had to supervise it.', 'start': 1288.025, 'duration': 0.96}, {'end': 1290.486, 'text': 'Unsupervised learning.', 'start': 1289.445, 'duration': 1.041}, {'end': 1294.367, 'text': 'Systems are able to identify hidden patterns from the input data provided.', 'start': 1290.846, 'duration': 3.521}], 'summary': 'Supervised learning requires labeled input-output pairs for training, while unsupervised learning identifies hidden patterns from input data.', 'duration': 41.405, 'max_score': 1252.962, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ1252962.jpg'}, {'end': 1383.162, 'src': 'heatmap', 'start': 1356.928, 'weight': 0.825, 'content': [{'end': 1363.352, 'text': 'And then it looks at that and says oh okay, so, based on this data coming in, what I gave you was a wrong response,', 'start': 1356.928, 'duration': 6.424}, {'end': 1364.813, 'text': "so next time I'll give you a different one.", 'start': 1363.352, 'duration': 1.461}, {'end': 1367.852, 'text': 'Comparing machine learning and deep learning.', 'start': 1365.771, 'duration': 2.081}, {'end': 1371.335, 'text': 'So remember that deep learning is a subcategory of machine learning.', 'start': 1367.992, 'duration': 3.343}, {'end': 1372.796, 'text': "So it's one of the many tools.", 'start': 1371.495, 'duration': 1.301}, {'end': 1376.898, 'text': "And so we're grouping a ton of machine learning tools all together.", 'start': 1373.436, 'duration': 3.462}, {'end': 1383.162, 'text': "Linear regression, k-means clustering, there's all kinds of cool tools out there you can use in machine learning.", 'start': 1377.158, 'duration': 6.004}], 'summary': 'Comparison of machine learning and deep learning, with deep learning as a subcategory, encompassing various tools like linear regression and k-means clustering.', 'duration': 26.234, 'max_score': 1356.928, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ1356928.jpg'}, {'end': 1436.478, 'src': 'embed', 'start': 1408.671, 'weight': 2, 'content': [{'end': 1412.872, 'text': "We're talking about maybe your spreadsheet from your business and your totals for the end of the year.", 'start': 1408.671, 'duration': 4.201}, {'end': 1417.653, 'text': "When you're talking about neural networks, you usually need a large amount of data to train the data.", 'start': 1412.892, 'duration': 4.761}, {'end': 1419.714, 'text': "So there's a lot of training involved.", 'start': 1418.093, 'duration': 1.621}, {'end': 1425.195, 'text': "If you have under 500 points of data, that's probably not going to go into machine learning.", 'start': 1419.834, 'duration': 5.361}, {'end': 1431.516, 'text': 'Or maybe you have, like the case of one of the things, 500 points of data and 30 different fields.', 'start': 1425.695, 'duration': 5.821}, {'end': 1436.478, 'text': 'It starts getting really confusing there in artificial intelligence or machine learning,', 'start': 1432.216, 'duration': 4.262}], 'summary': 'Neural networks require over 500 points of data for training in machine learning.', 'duration': 27.807, 'max_score': 1408.671, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ1408671.jpg'}, {'end': 1569.926, 'src': 'heatmap', 'start': 1541.2, 'weight': 3, 'content': [{'end': 1543.622, 'text': "You really don't know how it came up with the answer.", 'start': 1541.2, 'duration': 2.422}, {'end': 1545.604, 'text': 'You just know it came up with the right answer.', 'start': 1543.742, 'duration': 1.862}, {'end': 1547.525, 'text': 'A glimpse into the future.', 'start': 1546.304, 'duration': 1.221}, {'end': 1554.472, 'text': 'So a quick glimpse into the future, artificial intelligence, be using it to detecting crimes before they happen.', 'start': 1548.306, 'duration': 6.166}, {'end': 1557.895, 'text': 'Humanoid AI helpers, which we already have a lot of.', 'start': 1555.152, 'duration': 2.743}, {'end': 1558.936, 'text': "There'll be more and more.", 'start': 1557.935, 'duration': 1.001}, {'end': 1560.537, 'text': "Maybe it'll actually be Androids.", 'start': 1559.256, 'duration': 1.281}, {'end': 1563.4, 'text': "That'd be cool to have an Android that comes and gets stuff out of my fridge for me.", 'start': 1560.557, 'duration': 2.843}, {'end': 1566.903, 'text': 'Machine learning, increasing efficiency in healthcare.', 'start': 1563.68, 'duration': 3.223}, {'end': 1569.926, 'text': "That's really big in all the forms of machine learning.", 'start': 1566.983, 'duration': 2.943}], 'summary': 'Ai will detect crimes before they happen, humanoid ai helpers increasing, machine learning improves healthcare efficiency.', 'duration': 28.726, 'max_score': 1541.2, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ1541200.jpg'}, {'end': 1629.871, 'src': 'embed', 'start': 1600.417, 'weight': 4, 'content': [{'end': 1603.378, 'text': 'In this case, the AI versus the human.', 'start': 1600.417, 'duration': 2.961}, {'end': 1606.86, 'text': 'We did a lot of that, so we have a page marker of human interaction.', 'start': 1603.658, 'duration': 3.202}, {'end': 1609.781, 'text': 'We discussed machine learning and all their different parts.', 'start': 1607.46, 'duration': 2.321}, {'end': 1612.322, 'text': 'And then we discussed the deep learning aspect.', 'start': 1610.381, 'duration': 1.941}, {'end': 1618.988, 'text': "We went into AI and machine learning and deep learning, how they're all subcategories of each other.", 'start': 1613.066, 'duration': 5.922}, {'end': 1622.849, 'text': 'Very important to remember that artificial intelligence is a big picture.', 'start': 1619.428, 'duration': 3.421}, {'end': 1625.95, 'text': 'Machine learning is a category in artificial intelligence.', 'start': 1623.089, 'duration': 2.861}, {'end': 1629.871, 'text': 'And then deep learning is a tool in machine learning.', 'start': 1626.47, 'duration': 3.401}], 'summary': 'Ai, machine learning, and deep learning are interconnected categories.', 'duration': 29.454, 'max_score': 1600.417, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ1600417.jpg'}], 'start': 1232.148, 'title': 'Machine learning types and applications', 'summary': 'Covers three primary types of machine learning: supervised, unsupervised, and discusses their processes, with an emphasis on the difference between machine learning and deep learning, their potential applications, and future impacts of artificial intelligence.', 'chapters': [{'end': 1328.409, 'start': 1232.148, 'title': 'Types of machine learning', 'summary': 'Explains the three primary types of machine learning: supervised learning, which requires input and output for training; unsupervised learning, which identifies hidden patterns from input data; and discusses the process and examples of each type.', 'duration': 96.261, 'highlights': ['Supervised learning requires both an input and an output to be given to the model for it to be trained, such as training a model with 100 images of bicycles and their corresponding labels, allowing it to predict whether a new image is a bicycle or not.', 'Unsupervised learning involves identifying hidden patterns from input data, making the data more readable and organized to reveal patterns, similarities, or anomalies, without the need for labeled data or explicit instructions on what to look for.']}, {'end': 1673.961, 'start': 1329.129, 'title': 'Machine learning & deep learning overview', 'summary': 'Explains the difference between machine learning and deep learning, highlighting the importance of data volume for neural networks and the potential applications of machine learning and deep learning in various fields, with an emphasis on increased personalization and the future impact of artificial intelligence.', 'duration': 344.832, 'highlights': ['Deep learning requires a large amount of data to train the neural network, whereas machine learning can work with a small amount of training data. Deep learning necessitates a large volume of data for training, while machine learning can function effectively with a small dataset.', 'Potential applications of machine learning and deep learning include increasing efficiency in healthcare, better marketing techniques, and increased personalization. Machine learning and deep learning have potential applications in increasing healthcare efficiency, enhancing marketing techniques, and enabling increased personalization.', 'Artificial intelligence may be utilized for detecting crimes before they happen and for the development of humanoid AI helpers. Artificial intelligence may have future applications in crime detection and the creation of humanoid AI assistants.', 'A brief overview of the relationship between artificial intelligence, machine learning, and deep learning is provided, emphasizing their hierarchical structure. The transcript offers a hierarchical overview of artificial intelligence, machine learning, and deep learning, emphasizing their interrelated subcategories.']}], 'duration': 441.813, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/9dFhZFUkzuQ/pics/9dFhZFUkzuQ1232148.jpg', 'highlights': ['Supervised learning requires input and output for training.', 'Unsupervised learning identifies hidden patterns from input data.', 'Deep learning needs a large amount of data for training.', 'Potential applications include healthcare efficiency and crime detection.', 'Artificial intelligence, machine learning, and deep learning are hierarchically related.']}], 'highlights': ['Amazon Echo demonstrates AI by translating voice input into actionable information.', "Google's machine learning algorithm evaluates user behavior on search results.", 'Artificial intelligence can provide more accurate results, as demonstrated in a cancer project, ensuring consistent predictions, which is crucial for medical applications.', 'The neural network uses prior data to identify and colorize specific elements in an image, showcasing the power of deep learning.', "AI's ability to interact using natural language, exemplified by commercial products like Alexa, signifies a significant development in the field.", 'The discussion on machine learning and deep learning highlights the automation of repetitive learning through neural networks, showcasing the efficiency and affordability of evolving computer systems.', 'Machine learning is exemplified through the prediction of user preferences based on provided information, leading to a more personalized experience.', 'Deep learning systems improve performance with more data and are scalable, enabling end-to-end problem solving and thinking like humans using artificial neural networks.', 'Machine learning is quick and accurate, providing fast and consistent results, and enabling the analysis of large amounts of data, including petabytes and terabytes, at an affordable cost.', "The neural network systems are significant in today's technology, as they can identify features and select the best ones, contributing to the growth of deep learning. It does this all in one network, making it a major advancement in machine learning (impact on technology advancement).", 'Deep learning is a subset of machine learning and is considered the newest and biggest application in the field, utilizing various machine learning tools for rapid testing and analysis (rapid testing and utilization of machine learning tools).', 'The chapter discusses the concepts of AI, including natural language processing, machine learning, knowledge representation, automated reasoning, computer vision, and robotics, within the context of machine learning, AI, and deep learning (overview of concepts within AI and machine learning).', 'AI is the big picture, encompassing machine learning and deep learning, used to automate the classification and retrieval of books in libraries.', 'The process involves digital data analysis, text mining, and deep learning to identify and retrieve specific books based on genre or category.', 'The utilization of deep learning is essential for translating handwritten printed data to digital form, enabling the classification of books without manual reading, streamlining the process of identifying specific book genres or topics.', 'Machine learning learns from data and past experiences, programmed to predict outcomes based on previous occurrences.', 'Artificial intelligence encompasses the broader concept of mimicking human experience and performance, involving tools like Amazon Echo, Google Command, and Cortana for tasks like news generation and smart home device control.', "Machine learning's role in spam detection and search result refining, without human interaction, is a common application (e.g., categorizing results based on hits, views, and ratings).", 'Deep learning is mentioned as a subsequent concept to machine learning.', 'Self-aware systems are capable of understanding their internal states, predicting human feelings, and taking actions to enhance human happiness by demonstrating self-awareness and predicting beneficial actions.', 'Theory of mind involves systems understanding human emotions and adjusting behaviors accordingly, serving as a crucial aspect to differentiate artificial intelligence from mere objects.', 'Limited memory systems retain information for a short period, demonstrated by a neural network identifying patterns without remembering specific pictures, and the importance of user experience in understanding human emotions.', 'Reactive machines are systems that only react to stimuli without forming memories or past experiences, with an example of a washing machine automatically adjusting its load to prevent thumping during spin.', 'Supervised learning requires input and output for training.', 'Unsupervised learning identifies hidden patterns from input data.', 'Deep learning needs a large amount of data for training.', 'Potential applications include healthcare efficiency and crime detection.', 'Artificial intelligence, machine learning, and deep learning are hierarchically related.']}