Data Science Q&A with Madhav and AMAZON Applied Scientist, Krishna Rao! скачать в хорошем качестве

Data Science Q&A with Madhav and AMAZON Applied Scientist, Krishna Rao!

Enjoy a complete recording of my Q&A with Amazon Applied Scientist, Krishna Rao!! Krishna is responsible for building state-of-the-art advertising recommendation systems for Amazon! Krishna has had a slightly unconventional path to get to this point. His background is in Civil Engineering and he was first a Data Science consultant before joining Amazon. In this Q&A, he shares the tips and tricks he used to land one of the most coveted roles in FAANG! Don't forget to SUBSCRIBE for more useful DS content! Here is my blog: https://www.madhavthaker.com/ My LinkedIn:   / madhavthaker   Join Our LinkedIn Group with other aspiring Data Scientists!   / 13913186   Timestamps: 00:00:00 - Introduction 00:09:08 - Start of Presentation 00:39:03 - As a civil engineering undergrad student, how can machine learning be integrated with my studies? 00:41:26 - What are the best ways data science managers can enable their team to be successful? How intimately should the managers be aware of the technical nature of the data science problems they're working on? 00:43:48 - Do you have any good courses to learn Tensorflow? 00:44:44 - What types of personal projects should I concentrate on and how complex or in-depth should they be for someone seeking entry-level work? 00:47:24 - What's the value of a master's in Data Science? Can you comment on the value of doing a program like this versus starting entry-level data science job without it? 00:49:10 - How do we target companies who look for people who are just getting into data science? 00:50:31 - I know R, SQL, and Python at an intermediate level. Should I focus on just getting better with those or add new languages? 00:52:39 - s it feasible to do some form of ML research or new development without a Ph.D. 00:53:55 - I’ve been a Machine Learning Engineer for about five years now, and recently I've been thinking about getting my masters in computer science or data science part-time. Do you think this would be advantageous? 00:56:32 - How flexible is it for a data science professional to switch to Ai research machine learning, etc, and vice versa. 00:57:37 - When you're building your portfolio, do your projects have to be from various domains, or would you focus on one particular domain? 00:59:28 - When transitioning from engineering to data science what are some things that should be considered when looking for your first job in data science. 01:01:09 - What were the steepest parts of your learning curve when you started working on data science and industry. 01:03:11 - Do you recommend becoming a backend engineer first before transitioning into an MLE role? 01:04:50 - I’ve been considering pursuing the Harvard extension school MS, Please share thoughts or advice that you have regarding your experience with a degree. 01:05:53 - What is your every day on the job like as Amazon applied scientists. 01:07:53 - Any advice or anecdotes for those without Ph.D. degrees trying to break in to research? 01:09:48 - How important is learning scala at this stage is something I shouldn't do later or focus on something else. 01:11:15 - What is a good domain for me to utilize my psychology and business background through data science. 01:12:59 - How did you get through the interview around the Amazon um how did you prepare for the coating rounds. 01:15:15 - Any tips for self-taught programmers data scientists to break into the field, I think you touched on that, but I think we go one more, but this question is interesting any tips for finding a mentor for those who aren't working in the tech field. 01:17:45 - Where do you see the future of recommendation systems? 01:22:37 - What coding platform is best for the Machine Learning industry. 01:23:27 - What are you excited to learn about in the future. 01:25:22 - As a Ph.D. candidate, I was fortunate enough to work on a number of data science-related projects that culminated in a publication of either a book. However, I'm not certain how these fit in my resume our publications worth including in the resume, even if it sends my resume from one page or two pages. 01:26:14 - How can you improve your storytelling skills just by practicing do you guys use any other tools. 01:28:38 - If you're already a data scientist, but not in a top tier or hot company, how do you stand out amongst candidates. 01:30:06 - Do you ever have imposter syndrome? If yes, when did you get over that hump? 01:34:60 - I work, mostly on text, processing, and natural language understanding I'm just getting better at an area or should I generalize