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.
Anything you would recommend to someone to get better at A/B testing ya hypothesis testing? I already know how to do A/B tests but there's still a lot to be learnt, more from the statistics perspective. There are tools online that help you understand the results of A/B test but I also want to understand what goes behind it
I always recommend people to go through ISLR and ESLR as their starting points. I still refer to these books whenever I need to go back to my fundamentals. 🤝
Can't say that I don't agree. ISLR and ESLR has made my fundamentals stronger. ISLR was a great read during my undergrad.
Hey im a 3rd yr student, got interested in statistics recently, I will look into this book, hope it's not highly advanced level. What other things would you recommend me which would also have an amalgamation of little bit finance
Read Time Series analysis for quants
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 cof...
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Hello everyone, I'm a student doing masters in computer science. I want to make my career in data science. Which mathematics topics and depth of that topics are needed to learn things in depth in the about machine learning, data processi...
