title
Aditya Joined Info-Matrix as Data Science Intern | Data Scientist Interview | Applied AI Course

description
Aditya Joined Info-Matrix as Data Science Intern | Data Scientist Interview | Applied AI Course #datascientist #datascienceinterviewquestions #appliedaicourse -------------------------------------------------------------------------------------------------------------------------------------- The AppliedAICourse attempts to teach students/course-participants some of the core ideas in machine learning, data-science and AI that would help the participants go from a real world business problem to a first cut, working and deployable AI solution to the problem. Our primary focus is to help participants build real world AI solutions using the skills they learn in this course. This course will focus on practical knowledge more than mathematical or theoretical rigor. That doesn't mean that we would water down the content. We will try and balance the theory and practice while giving more preference to the practical and applied aspects of AI as the course name suggests. Through the course, we will work on 20+ case studies of real world AI problems and datasets to help students grasp the practical details of building AI solutions. For each idea/algorithm in AI, we would provide examples to provide the intuition and show how the idea to used in the real world. For more information, please visit: https://www.appliedaicourse.com/ For any queries you can either drop a mail to team@appliedaicourse.com or call us at +91 8106-920-029 or +91 6301-939-583 Facebook: https://www.facebook.com/appliedaicourse Soundcloud: https://soundcloud.com/applied-ai-course

detail
{'title': 'Aditya Joined Info-Matrix as Data Science Intern | Data Scientist Interview | Applied AI Course', 'heatmap': [{'end': 258.608, 'start': 239.676, 'weight': 0.737}, {'end': 470.461, 'start': 448.484, 'weight': 0.791}, {'end': 942.969, 'start': 928.275, 'weight': 0.734}], 'summary': "Aditya's journey from a cloud and data engineer to pursuing a master's in data science, emphasizing study methods from the applied ai course and insights from attending 23 interviews, while also highlighting the significance of probability, statistics, deep learning, and startup experiences in data science career preparation, including tips for showcasing code, writing articles, and case study preparation.", 'chapters': [{'end': 307.762, 'segs': [{'end': 66.481, 'src': 'embed', 'start': 25.217, 'weight': 0, 'content': [{'end': 41.006, 'text': 'his story is certainly a very interesting case study for even us to learn how somebody who is persistent and who has the grit and consistency of hard work can certainly make it to the end of the tunnel and be successful at the end.', 'start': 25.217, 'duration': 15.789}, {'end': 43.167, 'text': 'So Aditya, please introduce yourself.', 'start': 41.386, 'duration': 1.781}, {'end': 51.235, 'text': "Yeah, so currently I'm a graduate student major specializing in data science at Stevens Institute of Technology in New Jersey.", 'start': 44.133, 'duration': 7.102}, {'end': 56.997, 'text': "So before being a master's student, I used to work as a cloud and data engineer at PwC.", 'start': 51.856, 'duration': 5.141}, {'end': 59.278, 'text': 'My role was very diverse.', 'start': 57.518, 'duration': 1.76}, {'end': 66.481, 'text': 'like initially I was into cloud automation infrastructure provisioning DevOps, then my kind of role transitioned towards a data engineer,', 'start': 59.278, 'duration': 7.203}], 'summary': 'Aditya, a graduate student at stevens institute of technology, transitioned from working at pwc as a cloud and data engineer to specializing in data science.', 'duration': 41.264, 'max_score': 25.217, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/x5WlqGYlB5w/pics/x5WlqGYlB5w25217.jpg'}, {'end': 212.971, 'src': 'embed', 'start': 187.897, 'weight': 4, 'content': [{'end': 196.539, 'text': "So that's why I decided, okay, I now want to do a master's in data science and why not build my skills in data science and let's give it a shot.", 'start': 187.897, 'duration': 8.642}, {'end': 206.286, 'text': 'I mean, why not? Initially, the thing was that before coming to US for my Masters, I was doing the Applied AI course.', 'start': 196.639, 'duration': 9.647}, {'end': 209.368, 'text': 'I did it for like two months.', 'start': 206.446, 'duration': 2.922}, {'end': 212.971, 'text': 'In terms of your revision, how would you exactly revise?', 'start': 209.769, 'duration': 3.202}], 'summary': "Decided to pursue master's in data science after completing a 2-month applied ai course.", 'duration': 25.074, 'max_score': 187.897, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/x5WlqGYlB5w/pics/x5WlqGYlB5w187897.jpg'}, {'end': 263.332, 'src': 'heatmap', 'start': 234.391, 'weight': 5, 'content': [{'end': 239.017, 'text': 'So you would write the notes from the videos and then revise it on a regular basis?', 'start': 234.391, 'duration': 4.626}, {'end': 243.859, 'text': 'yes, yes, yes, and the implementation part for all the concepts.', 'start': 239.676, 'duration': 4.183}, {'end': 249.563, 'text': 'that was a thing which, like the things which i like, did in my assignments, other things which i still remember right now.', 'start': 243.859, 'duration': 5.704}, {'end': 258.608, 'text': "so so that's yes, without doubt i mean because you put in that effort, you you've written that code line by line and got stuck, debugged it.", 'start': 249.563, 'duration': 9.045}, {'end': 263.332, 'text': 'so, yes, assignments are the best way to recollect and remember concepts for the long term.', 'start': 258.608, 'duration': 4.724}], 'summary': 'Revising video notes and implementing concepts in assignments helps in long-term retention.', 'duration': 28.941, 'max_score': 234.391, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/x5WlqGYlB5w/pics/x5WlqGYlB5w234391.jpg'}, {'end': 298.035, 'src': 'embed', 'start': 272.798, 'weight': 6, 'content': [{'end': 278.301, 'text': 'so i mean there were times when it used to take like eight to ten hours for one assignment, like yeah,', 'start': 272.798, 'duration': 5.503}, {'end': 281.203, 'text': 'so the expectation is not to finish one assignment a day.', 'start': 278.301, 'duration': 2.902}, {'end': 283.184, 'text': "that's a very hectic schedule.", 'start': 281.203, 'duration': 1.981}, {'end': 286.606, 'text': 'we expect people to do at least one assignment or two.', 'start': 283.184, 'duration': 3.422}, {'end': 294.111, 'text': 'i mean some assignments are easy, but even the hardest assignment can be finished in one week And if you go in the flow right, it feels like the flow.', 'start': 286.606, 'duration': 7.505}, {'end': 296.153, 'text': 'Otherwise, it all feels piled up.', 'start': 294.151, 'duration': 2.002}, {'end': 298.035, 'text': 'In this whole journey, right?', 'start': 296.553, 'duration': 1.482}], 'summary': 'Completing at least one assignment per day is expected, with some taking up to 8-10 hours, and the hardest ones being finishable in one week.', 'duration': 25.237, 'max_score': 272.798, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/x5WlqGYlB5w/pics/x5WlqGYlB5w272798.jpg'}], 'start': 12.191, 'title': "Aditya's inspiring journey and study methods in data science", 'summary': "Explores aditya's transition from a cloud and data engineer to pursuing a master's in data science, highlighting his learning from applied ai course and decision to pursue a career in data science. it also discusses study methods involving course notes and assignments, and the importance of concepts in interviews, based on the experience of the speaker who attended 23 interviews.", 'chapters': [{'end': 187.397, 'start': 12.191, 'title': "Aditya's inspiring journey to machine learning", 'summary': "Discusses aditya's inspiring journey from working as a cloud and data engineer at pwc to pursuing a master's in data science, highlighting his transition, learning from applied ai course, and decision to pursue a career in data science.", 'duration': 175.206, 'highlights': ['Aditya transitioned from a cloud and data engineer role to specializing in data science at Stevens Institute of Technology, showcasing his determination to pursue a career in machine learning.', "Aditya's experience at PwC involved diverse roles from cloud automation to data engineering, including working on Spark, building batch pipelines, and handling data at scale.", "Aditya's decision to pursue data science was influenced by observing the machine learning team at PwC and enrolling in the Applied AI course, demonstrating his proactive approach to learning and career development.", "Aditya's journey reflects the potential for young students to succeed in machine learning careers through persistence and consistent hard work, serving as an inspiration for those seeking internships or full-time roles in the field."]}, {'end': 307.762, 'start': 187.897, 'title': "Master's in data science and study methods", 'summary': "Discusses the decision to pursue a master's in data science, study methods involving course notes and assignments, and the importance of concepts in interviews, based on the experience of the speaker who attended 23 interviews.", 'duration': 119.865, 'highlights': ["The speaker decided to pursue a master's in data science and emphasized the importance of building skills in data science.", 'Revising through course notes and implementing concepts in assignments was an effective study method for the speaker, leading to improved retention and understanding.', 'The speaker dedicated significant time to completing assignments, aiming to finish one assignment per day, and sometimes spending 8 to 10 hours on a single assignment.']}], 'duration': 295.571, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/x5WlqGYlB5w/pics/x5WlqGYlB5w12191.jpg', 'highlights': ['Aditya transitioned from a cloud and data engineer role to specializing in data science at Stevens Institute of Technology, showcasing his determination to pursue a career in machine learning.', "Aditya's experience at PwC involved diverse roles from cloud automation to data engineering, including working on Spark, building batch pipelines, and handling data at scale.", "Aditya's decision to pursue data science was influenced by observing the machine learning team at PwC and enrolling in the Applied AI course, demonstrating his proactive approach to learning and career development.", "Aditya's journey reflects the potential for young students to succeed in machine learning careers through persistence and consistent hard work, serving as an inspiration for those seeking internships or full-time roles in the field.", "The speaker decided to pursue a master's in data science and emphasized the importance of building skills in data science.", 'Revising through course notes and implementing concepts in assignments was an effective study method for the speaker, leading to improved retention and understanding.', 'The speaker dedicated significant time to completing assignments, aiming to finish one assignment per day, and sometimes spending 8 to 10 hours on a single assignment.']}, {'end': 703.662, 'segs': [{'end': 337.508, 'src': 'embed', 'start': 307.802, 'weight': 0, 'content': [{'end': 312.226, 'text': 'So what do you think matters the most from a data science, machine learning perspective??', 'start': 307.802, 'duration': 4.424}, {'end': 318.123, 'text': 'yeah, so I think number one is that your concepts about probability and statistics.', 'start': 312.782, 'duration': 5.341}, {'end': 320.584, 'text': 'they should be strong, the like.', 'start': 318.123, 'duration': 2.461}, {'end': 327.426, 'text': "you should be clearer on the internals of the algorithm, like you shouldn't like use algorithms like in, like a black box.", 'start': 320.584, 'duration': 6.842}, {'end': 333.207, 'text': "so, for example, someone asks you like what's the weight matrix in a logistic regression model?", 'start': 327.426, 'duration': 5.781}, {'end': 337.508, 'text': "or maybe what's a regularizer is or even a regularizer work.", 'start': 333.207, 'duration': 4.301}], 'summary': 'Strong understanding of probability, statistics, and algorithm internals are crucial in data science and machine learning.', 'duration': 29.706, 'max_score': 307.802, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/x5WlqGYlB5w/pics/x5WlqGYlB5w307802.jpg'}, {'end': 408.028, 'src': 'embed', 'start': 365.638, 'weight': 2, 'content': [{'end': 373.163, 'text': "you usually what I've seen is like in my six to seven interviews like, uh, with the interview there was a live coding session,", 'start': 365.638, 'duration': 7.525}, {'end': 375.905, 'text': 'even as you and then ask you to code stuff.', 'start': 373.163, 'duration': 2.742}, {'end': 383.851, 'text': "So interviews, that's what we have started doing, wherein we just share a Google document as them to write pseudo code or code in that.", 'start': 376.646, 'duration': 7.205}, {'end': 389.455, 'text': "What I would say is that like if someone is coming to a master's kind of a program,", 'start': 384.611, 'duration': 4.844}, {'end': 392.897, 'text': 'so they should be clearer in terms of what jobs they want to apply.', 'start': 389.455, 'duration': 3.442}, {'end': 400.242, 'text': 'Like, like initially I was so unclear, like I was like going on all over the place, going for cloud engineering, going for data engineering.', 'start': 393.197, 'duration': 7.045}, {'end': 402.904, 'text': 'So you started applying for a wide spectrum of roles.', 'start': 400.423, 'duration': 2.481}, {'end': 408.028, 'text': "Then you said, no, no, I'm here because of, because I want to have a career in data science.", 'start': 402.944, 'duration': 5.084}], 'summary': 'Transitioned from unclear career focus to targeting data science roles after 6-7 interviews and coding sessions.', 'duration': 42.39, 'max_score': 365.638, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/x5WlqGYlB5w/pics/x5WlqGYlB5w365638.jpg'}, {'end': 476.006, 'src': 'heatmap', 'start': 448.484, 'weight': 0.791, 'content': [{'end': 453.068, 'text': 'So currently what happened was that when I started to do deep learning that things changed a lot.', 'start': 448.484, 'duration': 4.584}, {'end': 461.494, 'text': 'Because like I would say is that it was so addictive deep learning content like I would prefer that instead of watching some TV series.', 'start': 453.468, 'duration': 8.026}, {'end': 463.376, 'text': 'I wish everybody thinks that.', 'start': 461.935, 'duration': 1.441}, {'end': 470.461, 'text': 'I was literally thrilled when I saw the capability of BIRD being used as a question answering system.', 'start': 464.096, 'duration': 6.365}, {'end': 476.006, 'text': 'I mean how can even someone do like that, that Amazon rainforest assignment question that you gave.', 'start': 470.542, 'duration': 5.464}], 'summary': 'Deep learning was found to be addictive, with preference over tv series. the capability of bird as a question answering system was thrilling.', 'duration': 27.522, 'max_score': 448.484, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/x5WlqGYlB5w/pics/x5WlqGYlB5w448484.jpg'}, {'end': 511.661, 'src': 'embed', 'start': 478.167, 'weight': 5, 'content': [{'end': 483.509, 'text': "We wanted to introduce students to some of these advanced techniques because they're also very inspiring.", 'start': 478.167, 'duration': 5.342}, {'end': 492.372, 'text': "You can say, wow, I can build a Q&A system tomorrow by pre-training on something and it's readily available as long as you understand the internals.", 'start': 483.989, 'duration': 8.383}, {'end': 495.553, 'text': 'As long as I understand the internals.', 'start': 492.452, 'duration': 3.101}, {'end': 500.375, 'text': 'My whole aim since the last two months was that I want to write my blog on Medium.', 'start': 495.813, 'duration': 4.562}, {'end': 511.661, 'text': "I think my 17 assignments are done and I think four assignments more and after that I think it's the self case study and the blog part.", 'start': 500.755, 'duration': 10.906}], 'summary': 'Introducing advanced techniques to inspire students, aiming to complete 17 assignments and write a blog on medium.', 'duration': 33.494, 'max_score': 478.167, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/x5WlqGYlB5w/pics/x5WlqGYlB5w478167.jpg'}, {'end': 562.354, 'src': 'embed', 'start': 520.586, 'weight': 4, 'content': [{'end': 527.771, 'text': 'As part of this internship, try and perform your best here so that you can get a pre-placement offer.', 'start': 520.586, 'duration': 7.185}, {'end': 532.553, 'text': "More importantly, let's not assume that this is the only offer we can get.", 'start': 528.55, 'duration': 4.003}, {'end': 539.138, 'text': 'Whole team will help you through both finishing your case studies, your mock interviews, rest of the assignment.', 'start': 532.573, 'duration': 6.565}, {'end': 546.283, 'text': 'I recommend that you do your best in this internship, get a full-time offer and probably also try for some big companies.', 'start': 539.178, 'duration': 7.105}, {'end': 553.628, 'text': "Again, sometimes my recommendation to students also has been, don't look at how big a company is early in your career.", 'start': 547.343, 'duration': 6.285}, {'end': 562.354, 'text': "Always look for how much you can learn, because I've seen teams even in big companies like Google, Facebook, et cetera,", 'start': 554.452, 'duration': 7.902}], 'summary': 'Give your best in the internship to secure pre-placement offer and consider opportunities beyond this one. focus on learning rather than the size of the company.', 'duration': 41.768, 'max_score': 520.586, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/x5WlqGYlB5w/pics/x5WlqGYlB5w520586.jpg'}, {'end': 690.494, 'src': 'embed', 'start': 657.28, 'weight': 7, 'content': [{'end': 657.68, 'text': 'Yes Yes.', 'start': 657.28, 'duration': 0.4}, {'end': 659.403, 'text': "Because it's an NLP internship.", 'start': 657.82, 'duration': 1.583}, {'end': 662.547, 'text': 'I mean, you can, BERT is so powerful.', 'start': 660.424, 'duration': 2.123}, {'end': 668.262, 'text': 'I mean, you can look at it as a baseline model for many of the key tasks and it works phenomenally well.', 'start': 663.499, 'duration': 4.763}, {'end': 669.522, 'text': 'Yes Right.', 'start': 668.862, 'duration': 0.66}, {'end': 672.984, 'text': 'Right I mean, you were telling about some of the things which come in job, job life.', 'start': 669.663, 'duration': 3.321}, {'end': 680.529, 'text': 'Like I was even an RA in my college and like, so we got some data, like it was also like textual data.', 'start': 673.004, 'duration': 7.525}, {'end': 683.29, 'text': 'And then you mean a research assistant program.', 'start': 680.809, 'duration': 2.481}, {'end': 690.494, 'text': 'Okay, Yeah, so that was also because they wanted someone with the intersection of data engineering and data science,', 'start': 683.41, 'duration': 7.084}], 'summary': 'Bert is a powerful nlp model, useful for various tasks, as mentioned in an internship conversation.', 'duration': 33.214, 'max_score': 657.28, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/x5WlqGYlB5w/pics/x5WlqGYlB5w657280.jpg'}], 'start': 307.802, 'title': 'Data science skills and deep learning insights', 'summary': 'Emphasizes the significance of strong probability and statistics concepts, algorithm understanding, and career focus for data science. it also discusses the excitement of learning deep learning, the importance of persistence, and the career advantages of startup experiences.', 'chapters': [{'end': 453.068, 'start': 307.802, 'title': 'Essential skills for data science', 'summary': 'Emphasizes the importance of strong concepts in probability and statistics, understanding algorithms and coding, as well as having a clear career focus, with live coding sessions being a common aspect of interviews.', 'duration': 145.266, 'highlights': ['Strong concepts in probability and statistics are crucial for data science and machine learning, providing confidence in answering interview questions. Clear understanding of probability and statistics is essential for confidence in interview responses.', 'Understanding the internals of algorithms and avoiding treating them as black boxes is important for data science, including knowledge of logistic regression and gradient descent. Having clear understanding of algorithms, such as logistic regression and gradient descent, is crucial for success in data science.', 'Live coding sessions are common in interviews, emphasizing the importance of coding skills for data science roles. Emphasis on coding skills is highlighted by the prevalence of live coding sessions in interviews for data science roles.', 'Having a clear career focus, particularly in data science, is important for effectively targeting job applications and interviews. A clear career focus, especially in data science, is important for targeted job applications and interviews.']}, {'end': 703.662, 'start': 453.468, 'title': 'Deep learning insights and career advice', 'summary': 'Discusses the thrill of learning advanced techniques in deep learning, the importance of persistence, and the potential career advantages of gaining significant learning experiences in a startup environment to secure better opportunities in big companies.', 'duration': 250.194, 'highlights': ['The importance of gaining significant learning experiences in a startup environment to secure better opportunities in big companies, as illustrated by personal experiences such as being given more responsibilities at Amazon due to startup experience.', 'The thrill of learning advanced techniques in deep learning and the potential to build a question answering system using BERT, expressed with enthusiasm and a goal to share the knowledge through a blog on Medium.', 'Emphasizing the significance of persistence and enjoyment in deep learning, with encouragement to perform well in the internship to secure a pre-placement offer and potentially pursue opportunities in big companies.', 'Recognition of the power and versatility of BERT in natural language processing (NLP) tasks, highlighting its potential as a baseline model for numerous key tasks and expressing excitement about the learnings in the NLP internship.', 'Encouragement for students to focus on learning opportunities rather than the size of companies early in their careers, supported by examples of friends who gained significant learning experiences in startups and later secured advantageous positions in big companies.']}], 'duration': 395.86, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/x5WlqGYlB5w/pics/x5WlqGYlB5w307802.jpg', 'highlights': ['Clear understanding of probability and statistics is essential for confidence in interview responses.', 'Having clear understanding of algorithms, such as logistic regression and gradient descent, is crucial for success in data science.', 'Emphasis on coding skills is highlighted by the prevalence of live coding sessions in interviews for data science roles.', 'A clear career focus, especially in data science, is important for targeted job applications and interviews.', 'The importance of gaining significant learning experiences in a startup environment to secure better opportunities in big companies.', 'The thrill of learning advanced techniques in deep learning and the potential to build a question answering system using BERT, expressed with enthusiasm and a goal to share the knowledge through a blog on Medium.', 'Emphasizing the significance of persistence and enjoyment in deep learning, with encouragement to perform well in the internship to secure a pre-placement offer and potentially pursue opportunities in big companies.', 'Recognition of the power and versatility of BERT in natural language processing (NLP) tasks, highlighting its potential as a baseline model for numerous key tasks and expressing excitement about the learnings in the NLP internship.', 'Encouragement for students to focus on learning opportunities rather than the size of companies early in their careers, supported by examples of friends who gained significant learning experiences in startups and later secured advantageous positions in big companies.']}, {'end': 1011.33, 'segs': [{'end': 732.542, 'src': 'embed', 'start': 703.882, 'weight': 0, 'content': [{'end': 705.903, 'text': 'I think that lockdown helped me a lot.', 'start': 703.882, 'duration': 2.021}, {'end': 712.732, 'text': "It's also good that we see some students who are persistent, consistent and hardworking.", 'start': 708.125, 'duration': 4.607}, {'end': 715.295, 'text': 'We have made a lot of progress during the lockdown.', 'start': 712.792, 'duration': 2.503}, {'end': 718.54, 'text': "I mean, we can't control the external factors.", 'start': 716.016, 'duration': 2.524}, {'end': 721.685, 'text': "So let's at least do what we can to improve ourselves.", 'start': 718.58, 'duration': 3.105}, {'end': 729.12, 'text': "Yeah, I think one, my recommendation to everyone will be just don't get overwhelmed during the starting of the course.", 'start': 722.338, 'duration': 6.782}, {'end': 731.541, 'text': 'I mean, just set yourself milestones.', 'start': 729.26, 'duration': 2.281}, {'end': 732.542, 'text': 'You will get there.', 'start': 731.661, 'duration': 0.881}], 'summary': 'Lockdown led to progress; students must be persistent and consistent. set milestones for success.', 'duration': 28.66, 'max_score': 703.882, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/x5WlqGYlB5w/pics/x5WlqGYlB5w703882.jpg'}, {'end': 912.289, 'src': 'embed', 'start': 887.57, 'weight': 4, 'content': [{'end': 893.396, 'text': "But anyway, we'll improve that as we progress because we'll help you through at least two end-to-end case studies.", 'start': 887.57, 'duration': 5.826}, {'end': 898.101, 'text': "Yeah, I think that's the motivation now to do everything and to start the case studies.", 'start': 893.676, 'duration': 4.425}, {'end': 910.268, 'text': 'And apart from that, Be prepared to explain a full data science lifecycle, like how your data comes and then how you process it,', 'start': 898.722, 'duration': 11.546}, {'end': 912.289, 'text': 'and then how do you feed into an algorithm.', 'start': 910.268, 'duration': 2.021}], 'summary': 'Participants will receive help with two end-to-end case studies and will be expected to explain a full data science lifecycle.', 'duration': 24.719, 'max_score': 887.57, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/x5WlqGYlB5w/pics/x5WlqGYlB5w887570.jpg'}, {'end': 1008.788, 'src': 'heatmap', 'start': 928.275, 'weight': 1, 'content': [{'end': 937.704, 'text': 'So I think nothing in terms of questions can be apart from those questions because we have a super set of everything.', 'start': 928.275, 'duration': 9.429}, {'end': 940.627, 'text': 'Oh yeah, we have questions at the end of every chapter.', 'start': 937.864, 'duration': 2.763}, {'end': 942.969, 'text': 'We call them revision questions or interview questions.', 'start': 940.807, 'duration': 2.162}, {'end': 948.394, 'text': "Yeah, so if you prepare those and what we covered in the interview questions, they're like a super set.", 'start': 943.55, 'duration': 4.844}, {'end': 952.979, 'text': "Is that what you're saying? Yeah, that's a super set because I never came across a question before.", 'start': 948.414, 'duration': 4.565}, {'end': 963.983, 'text': 'In terms of machine learning and data science, apart from that, and even there were some live sessions on Spark.', 'start': 953.739, 'duration': 10.244}, {'end': 967.425, 'text': 'If you can do on those things.', 'start': 964.804, 'duration': 2.621}, {'end': 977.469, 'text': "I think now, if you know some knowledge about the productionization and deployments, that's even more brownie points that we can have.", 'start': 967.425, 'duration': 10.044}, {'end': 982.191, 'text': 'We have focused a lot recently on productionization, coding, deployment.', 'start': 977.629, 'duration': 4.562}, {'end': 985.013, 'text': 'end-to-end deployment and things.', 'start': 982.791, 'duration': 2.222}, {'end': 991.157, 'text': 'Because we see that students who know that their chances of success are significantly higher.', 'start': 985.193, 'duration': 5.964}, {'end': 997.201, 'text': 'So we have done literally like almost 20 hours of new content just on productionization, end-to-end deployment.', 'start': 991.897, 'duration': 5.304}, {'end': 999.762, 'text': "Let's stay in touch again.", 'start': 998.421, 'duration': 1.341}, {'end': 1005.486, 'text': "Let's target to crack a top-notch product-based company by the time you finish the course and your masters.", 'start': 1000.002, 'duration': 5.484}, {'end': 1007.187, 'text': 'Yes Yes.', 'start': 1006.287, 'duration': 0.9}, {'end': 1008.788, 'text': 'Okay Thank you very much.', 'start': 1007.587, 'duration': 1.201}], 'summary': 'Focus on preparation of interview questions and end-to-end deployment to increase success in landing top-notch product-based company job.', 'duration': 70.924, 'max_score': 928.275, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/x5WlqGYlB5w/pics/x5WlqGYlB5w928275.jpg'}], 'start': 703.882, 'title': 'Data science course preparation', 'summary': 'Emphasizes showcasing good quality code on github, writing articles on medium, preparing for end-to-end case studies, explaining the data science lifecycle, using appropriate metrics, and focusing on productionization and deployment, with around 20 hours of new content.', 'chapters': [{'end': 866.377, 'start': 703.882, 'title': 'Lockdown learning and interview preparation', 'summary': 'Emphasizes the benefits of lockdown learning, advocating persistence and consistency in coursework, and providing insightful interview preparation tips, including the importance of clear self-introduction and in-depth understanding of project details for success in data science interviews.', 'duration': 162.495, 'highlights': ['The chapter emphasizes the benefits of lockdown learning, advocating persistence and consistency in coursework, and providing insightful interview preparation tips, including the importance of clear self-introduction and in-depth understanding of project details for success in data science interviews.', "Lockdown has helped the speaker make a lot of progress, emphasizing the importance of persistence and consistency in coursework, with the assertion that it won't take more than two to three months with persistence.", "The speaker advises not to get overwhelmed at the start of the course and recommends setting milestones, emphasizing the importance of persistence and stating that it won't take more than two to three months with persistence.", "Interview preparation tips include the importance of a clear self-introduction, being well-versed in the details of one's resume, and being prepared to explain in-depth the techniques and algorithms claimed to be known, providing valuable insights for data science interviews.", "The speaker highlights the significance of being well-prepared to explain in-depth the techniques and algorithms claimed to be known, emphasizing the interviewer's likelihood of delving deep into the claimed knowledge during data science interviews."]}, {'end': 1011.33, 'start': 866.377, 'title': 'Data science course preparation', 'summary': 'Emphasizes the importance of showcasing good quality code on github, writing articles on medium, preparing for end-to-end case studies, explaining the data science lifecycle, using appropriate metrics, and focusing on productionization and deployment, with around 20 hours of new content on this topic.', 'duration': 144.953, 'highlights': ['The chapter emphasizes the importance of showcasing good quality code on GitHub and writing articles on Medium to set oneself apart, with the suggestion of preparing for end-to-end case studies and explaining the data science lifecycle.', 'The focus on productionization, coding, and deployment is highlighted, with approximately 20 hours of new content dedicated to this area, as it significantly increases the chances of success for students.', 'The mention of preparing for live interactive interviews, covering revision questions, interview questions, and a super set of questions, is highlighted as crucial for the course preparation.', 'The importance of knowledge about productionization, deployments, and Spark, as well as targeting top-notch product-based companies, is emphasized as essential for course completion and career success.']}], 'duration': 307.448, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/x5WlqGYlB5w/pics/x5WlqGYlB5w703882.jpg', 'highlights': ['The chapter emphasizes the benefits of lockdown learning, advocating persistence and consistency in coursework, and providing insightful interview preparation tips, including the importance of clear self-introduction and in-depth understanding of project details for success in data science interviews.', 'The focus on productionization, coding, and deployment is highlighted, with approximately 20 hours of new content dedicated to this area, as it significantly increases the chances of success for students.', 'The mention of preparing for live interactive interviews, covering revision questions, interview questions, and a super set of questions, is highlighted as crucial for the course preparation.', 'The importance of knowledge about productionization, deployments, and Spark, as well as targeting top-notch product-based companies, is emphasized as essential for course completion and career success.', 'The chapter emphasizes the importance of showcasing good quality code on GitHub and writing articles on Medium to set oneself apart, with the suggestion of preparing for end-to-end case studies and explaining the data science lifecycle.']}], 'highlights': ['Aditya transitioned from a cloud and data engineer role to specializing in data science at Stevens Institute of Technology, showcasing his determination to pursue a career in machine learning.', "Aditya's experience at PwC involved diverse roles from cloud automation to data engineering, including working on Spark, building batch pipelines, and handling data at scale.", "Aditya's decision to pursue data science was influenced by observing the machine learning team at PwC and enrolling in the Applied AI course, demonstrating his proactive approach to learning and career development.", "Aditya's journey reflects the potential for young students to succeed in machine learning careers through persistence and consistent hard work, serving as an inspiration for those seeking internships or full-time roles in the field.", "The speaker decided to pursue a master's in data science and emphasized the importance of building skills in data science.", 'Revising through course notes and implementing concepts in assignments was an effective study method for the speaker, leading to improved retention and understanding.', 'The speaker dedicated significant time to completing assignments, aiming to finish one assignment per day, and sometimes spending 8 to 10 hours on a single assignment.', 'Clear understanding of probability and statistics is essential for confidence in interview responses.', 'Having clear understanding of algorithms, such as logistic regression and gradient descent, is crucial for success in data science.', 'Emphasis on coding skills is highlighted by the prevalence of live coding sessions in interviews for data science roles.', 'A clear career focus, especially in data science, is important for targeted job applications and interviews.', 'The importance of gaining significant learning experiences in a startup environment to secure better opportunities in big companies.', 'The thrill of learning advanced techniques in deep learning and the potential to build a question answering system using BERT, expressed with enthusiasm and a goal to share the knowledge through a blog on Medium.', 'Emphasizing the significance of persistence and enjoyment in deep learning, with encouragement to perform well in the internship to secure a pre-placement offer and potentially pursue opportunities in big companies.', 'Recognition of the power and versatility of BERT in natural language processing (NLP) tasks, highlighting its potential as a baseline model for numerous key tasks and expressing excitement about the learnings in the NLP internship.', 'Encouragement for students to focus on learning opportunities rather than the size of companies early in their careers, supported by examples of friends who gained significant learning experiences in startups and later secured advantageous positions in big companies.', 'The chapter emphasizes the benefits of lockdown learning, advocating persistence and consistency in coursework, and providing insightful interview preparation tips, including the importance of clear self-introduction and in-depth understanding of project details for success in data science interviews.', 'The focus on productionization, coding, and deployment is highlighted, with approximately 20 hours of new content dedicated to this area, as it significantly increases the chances of success for students.', 'The mention of preparing for live interactive interviews, covering revision questions, interview questions, and a super set of questions, is highlighted as crucial for the course preparation.', 'The importance of knowledge about productionization, deployments, and Spark, as well as targeting top-notch product-based companies, is emphasized as essential for course completion and career success.', 'The chapter emphasizes the importance of showcasing good quality code on GitHub and writing articles on Medium to set oneself apart, with the suggestion of preparing for end-to-end case studies and explaining the data science lifecycle.']}