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I share my passion on machine learning and AI, and how to get into those fields. That may be via explanations of research papers like this one, but also famous researchers interviews, advice for prospective students and so on.

Thank you so much!

Thank you very much for your comment!

Thank you for your comment, I am glad to hear the video was helpful for you!

@MLNewPapers-xo5vm I wish you can help out. Thanks

Thank you so much for your comment!

Happy New Year Kevin! I couldn't agree more: most researchers, when they are allowed to, take advantage of conferences to enjoy new places, often with the new friends they met at conferences!

Thank you for your comment!!

Thank you so much, I am glad that it is useful for you and happy new year!

Thank you, I really appreciate the support!

Thank you so much for your comment! I will continue this series of videos this year then!

@@MLNewPapers-xo5vm When do you think you'll be able to make Part 2? Thank you.

Thank you very much for your comment! I am glad you like them.

Thank you so much for your comment! I am glad I could help and I wish you the best in your stats and ML journey!

Thank you very much Prof Tibshirani, I realty love your books and I am sure they will be very helpful for others as much as they have been for me!

Thank you so much for your comment!!

Thank you vey much for your comment, cheers from Japan!

Thank you so much for your very supportive comment, I appreciate so much!!

Thank you so much for your comment. All the best on your ML journey!

Thank you for your comment, I can do that!

Thank you so much for your content, I am happy that helps!

Hahaha yes, that is!

I completely agree with you: his presentations are really insightful, just like his research (soon on this channel...).

Thank you so much for your comment, I really appreciate it! And I def agree, Francesco is one of the best ML researchers of our era.

Thank you so much, I really enjoyed the experience and time with Francesco Orabona too!

Thank you so much! I really appreciate the support!

Thank you so much for your comment! I also learnt so much about networking when interviewing Amy Zhang, Arthur Gretton as well as the next researcher coming up soon on the channel (spoiler alert).

Thank you very much for your comment, I really appreciate!

Thank you very much for your comment! And I will keep that in mind if I make a related video on the Nobel Prize in the next few weeks ;)

Thank you very much for your comment! I completely agree, this is really a vicious circle: the less one produces, the less one works, and so on.

Thank you for your comment and very good point you have here! The projects I work on often have no specific deadline, but when I work with senior colleagues, we set together a (rough) deadline to finish the work to keep the productivity up. If I engage in several projects, I make sure the deadlines do not overlap, with (in my case) at least 1-2 months between 2 deadlines. And usually, I spend most of the time on the project which has the closest deadline. For example, if I work on 3 projects, I would spend 3 days on the project which has the earliest deadline, and 1 day on each of the others. Working at least half of the time on the project with the earliest deadline keeps the number of hours large, while working on several projects also keeps my productivity high. And as you pointed out, I always make sure to work on each project at least half a day per week in order not to forget what I did. In my case at least, what really helped me is to have a fixed schedule of what to do, so I never ask myself what to do. Besides increasing my productivity, it helps me not to spend time thinking about what to do and when to do it, which decreased my productivity and was one of the main sources of my stress. Hope that helps!

Thank you very much for your comment, I am glad to hear that my video is helping you on your PhD journey!

Thank you so much for your comment and support, I really appreciate!!

Thank you so much for your advice. I will apply it to the next video!

Thank you so much, I really appreciate!

Thank you very much for your nice comment!

Thank you so much!!

Thank you so much for your support!

Thank you so much! And yes, I agree, def a very useful advice for any ML engineer or researcher: focus on the method which works best for your problem!

Thank you so much for your support!

Thank you so much for your comment! Yes, I was really happy to have him on the channel and I learnt a lot from his advice too!

Thank you very much for your support, I highly appreciate!

Thank you for your comment. I am glad to hear that!

Thank you :)