This is how you can also do complex modelling ands statistical analysis easily...
I will share the next resource/paper when this post hits 100 likes. I was talking to my friend who is doing his PhD. from University of Maryland, College Park and I asked him what should a new learner of Statistics learn so that they can add value to their job from Day 1. He suggested me this book that he learnt initially from. I went through this book in the entirety of last year, and started to contribute more. I even started working on open-source datasets and contributed to several papers in leading journals. If you want to get ahead in your AI career, you should learn all of what the book contains.
This book is appropriate for anyone who wishes to use contemporary tools for data analysis...
https://www.stat.berkeley.edu/users/rabbee/s154/ISLR_First_Printing.pdf
SuttaParatha
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4 months ago
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Goldman Sachs
OpenAI Cofounder: "Learn these 30 research papers and you will know 90% of what matters today."
Please like and bookmark this if you find it useful. I have acess to the top AI researchers and ML PhDs working on the cutting edge in India and the US, will post some good content if this crosses 100 likes. Ilya Sutskever, OpenAI cofounder, gave John Carmack this reading list of approximately 30 research papers and said, ‘If you really learn all of these, you’ll know 90% of what matters today.’ FYI: John Carmack is also considered to be the greatest programmer of all time.
https://arc.net/folder/D0472A20-9C20-4D3F-B145-D2865C0A9FEE