Best Data Science Books According to the Experts
21–30 of 66 posts
Re: Best Data Science Books According to the Experts
#22I find it weird that this (free) book was omitted: - Goodfellow et al. Deep learning. MIT press, 2016. https://www.deeplearningbook.org/ And there is the book about DL with Python published by Manning in 2017, but not the book about DL with PyTorch, published by Manning in 2020? - Stevens et al. Deep Learning with PyTorch. Manning Publications, 2020. https://www.manning.com/books/deep-learning-with-pytorch
https://pytorch.org/assets/deep-learning/Deep-Learning-with-...
Re: Best Data Science Books According to the Experts
#23Re: Best Data Science Books According to the Experts
#24It's not focused on data science specifically. But it's short, sweet, and just might leave you better prepared to tell whether the emperor is wearing actual clothes, or if it's just an artfully arranged assemblage of TensorFlow operators.
Re: Best Data Science Books According to the Experts
#25Re: Best Data Science Books According to the Experts
#26More free books: * Vectors, Matrices, and Least Squares — IMO the best beginner-friendly and applications-focused intro to (or review of) linear algebra. Covers a ton of fundamental ground while keeping things consistent and concise. Lots of exercises and a Julia supplement book. ( http://vmls-book.stanford.edu/ ) * Mathematics for Machine Learning — good coverage of the most important math concepts relevant to ML (…
Re: Best Data Science Books According to the Experts
#27Then you will want to consult a text book in your work domain (e.g. introduction to speech & language OR statistical natural language processing for the domain of natural language processing).
And finally, you will want either a book, or free online Web resources/tutorial videos that show you how to do things in practice, given a particular programming language and tool-set (e.g. Python + TensorFlow, Java + DeepLearing4J).
This recipe of Theory + Application + Practice/Tools should get you there.
Re: Best Data Science Books According to the Experts
#28You want to read either Elements of Statistical Learning (2nd ed.) OR Kevin Murphy's ML book for the theory. Then you will want to consult a text book in your work domain (e.g. introduction to speech & language OR statistical natural language processing for the domain of natural language processing). And finally, you will want either a book, or free online Web resources/tutorial videos that show you how to do things…
Re: Best Data Science Books According to the Experts
#29Re: Best Data Science Books According to the Experts
#30The frequency with which Kevin Murphy's ML book gets left out of these lists in almost bewildering. If I had to choose 1 book as the ML bible, then it would be Murphy's (contrasted against Bishop and ESL) for the following reasons: 1. It uses CS jargon. (Bishop's book while great, uses Math/physics notation/jargon which add a barrier to entry) 2. It is more up to date and comprehensive (It covers everything from prob…
Looks like the Murphy book is $80 in hardback, they have a similar priced kindle version that doesn’t even have a cover image. Feels like this book is really for the college textbook market. Likely why it hasn’t gotten wider coverage.
ANYTIME you see ANY list of products online at least some of the objects on that list are there to generate income. There are tons of services to find the best revenue generating product in a category.