best probability and statistics book for machine learning site:www.quora.com - Axtarish в Google
10 июн. 2014 г. · Introduction to Probability theory and application by William Feller is by far the best book for learning probability. Volume I covers all the ...
12 дек. 2023 г. · 1. The Hundred-Page Machine Learning Book by Andriy Burkov: This book offers a concise and easy-to-understand approach to machine learning. It ...
3 июн. 2022 г. · A great probability book, Introduction to Probability by Charles M Grinstead & J. Laurie Snell is a solid book on probability.
11 янв. 2018 г. · Pick up PRML by Bishop or Probabilistic ML by Murphy which are my favourites. These books also have primer which should hopefully get you ...
29 янв. 2020 г. · You can go for Kevin Murphy's book, Machine Learning: A Probabilistic Perspective. It's geared towards senior undergrads or masteral students ...
31 янв. 2023 г. · Introduction to Probability theory and application by William Feller is by far the best book for learning probability. Volume I covers all the ...
13 авг. 2020 г. · 1. The Hundred-Page Machine Learning Book by Andriy Burkov: This book offers a concise and easy-to-understand approach to machine learning.
4 окт. 2018 г. · Think Stats by Allen B. Downey: A Python-based interactive book that combines statistics with coding, perfect for those who learn best by doing.
8 мая 2018 г. · You can go for Kevin Murphy's book, Machine Learning: A Probabilistic Perspective. It's geared towards senior undergrads or masteral students ...
8 дек. 2013 г. · For statistics, I'd say Casella-Berger's are a good option. For machine learning, I'd suggest starting with Elements of Statistical Learning or ...
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