3 ms·
The 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
by screye 6y ago
The 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 probabilistic models, traditional models, to neural networks all the way up to 2015 or so, unlike say ESL which is more introductory)
3. Everything in deep learning past 2015, is better learnt through papers/video lectures than any book. (A lot of it is intuition and not truths. There is a certain authority to books that belies our lack of understanding of NNs. Opinions on popular operations such as Dropout, Batch Norm, saliency maps have changed drastically over the last few years)
4. My ML professor used it for our upper grad level ML course and I came out very satisfied. (nothing quite like personal validation). I have read ESL and found it to be better as reading for an intro to ML course. I tried reading Bishop, and didn't like it :| )
- kanwisher 6y agoLooks 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.
- WhyIsItLikeThis 6y agoA lot of people don't seem to get the new revenue model of producing content for the web. These lists are written because they generate revenue from Amazon. Books are there that make the most money. 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.
- wodenokoto 6y agoThe book in question is Kevin Murphy, machine learning from a probabilistic perspective [1] Just googling kevin Murphy ML gives me a lot of ads and pages about hair product. [1] https://www.cs.ubc.ca/~murphyk/MLbook/ https://www.cs.ubc.ca/~murphyk/MLbook/
- dvlat 6y agoPersonally I had a really poor experience with Murphy's book because I bought one of the first editions (don't recall whether it was first or second). The list of known errors is really long [1], and the author didn't even bother to organize it properly. The author even decided to rewrite a chapter because it contained too many errors [2]. 1. https://www.cs.ubc.ca/~murphyk/MLbook/errata.html https://www.cs.ubc.ca/~murphyk/MLbook/errata.html 2. https://www.cs.ubc.ca/~murphyk/MLbook/pml-print3-ch19.pdf https://www.cs.ubc.ca/~murphyk/MLbook/pml-print3-ch19.pdf
- sangfroid_bio 6y agoThere is a new version coming out next year: https://mitpress.mit.edu/books/machine-learning-second-edition https://mitpress.mit.edu/books/machine-learning-second-editi...
- screye 6y agoI really am looking forward to it. I will probably revisit it entirely after that.