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If you are looking for machine learning outside of Deep Learning, there are just 2 books 1. Elements of Statistical Learning (very frequentist treatment) by Ha
by wanderingmind 4y ago
If you are looking for machine learning outside of Deep Learning, there are just 2 books
1. Elements of Statistical Learning (very frequentist treatment) by Hastie et.all [1]
2. Pattern Recognition and Machine Learning by Bishop(for a Bayesian treatment)[2]
Both are freely available online. Reading one book will get you to top 5% practitioners and reading both will get you to top 1%
[1] https://hastie.su.domains/Papers/ESLII.pdf https://hastie.su.domains/Papers/ESLII.pdf
[2] https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf https://www.microsoft.com/en-us/research/uploads/prod/2006/0...
- plonk 4y agoMachine Learning: a Probabilistic Perspective by Murphy may be a better reference. Murphy has more up-to-date books. > Both are freely available online. Reading one book will get you to top 5% practitioners and reading both will get you to top 1% At which percentage do you start meeting math PhDs from top schools? You'll most probably never meet their level of understanding just by reading books or doing exercises. Having read Bishop, I don't have one tenth of the knowledge I'd need to do research at that level, you need more exposure than that.
- sitkack 4y agohttps://probml.github.io/pml-book/ https://probml.github.io/pml-book/
- sitkack 4y agoThat [1] is a link to the uncorrected 2009 copy of ESL. The main page provides links to the most up to date version. https://hastie.su.domains/ElemStatLearn/ https://hastie.su.domains/ElemStatLearn/