Machine Learning Books List
2017-11-02 00:09
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Machine Learning A Probabilistic Perspective Learning by Kevin P. Murphy
Barber’s Bayesian Reasoning and Machine Learning (“BRML”, Cambridge University Press 2012)
- Koller and Friedman’s Probabilistic Graphical Models (“PGM”, MIT Press 2009)
- Bishop’s Pattern Recognition and Machine Learning (“PRML”, Springer 2006)
- MacKay’s Information Theory, Inference and Learning Algorithms (“ITILA”, CUP 2003)
- Hastie, Tibshirani and Friedman’s Elements of Statistical Learning (“ESL”, Springer 2009)
Barber’s Bayesian Reasoning and Machine Learning (“BRML”, Cambridge University Press 2012)
- Koller and Friedman’s Probabilistic Graphical Models (“PGM”, MIT Press 2009)
- Bishop’s Pattern Recognition and Machine Learning (“PRML”, Springer 2006)
- MacKay’s Information Theory, Inference and Learning Algorithms (“ITILA”, CUP 2003)
- Hastie, Tibshirani and Friedman’s Elements of Statistical Learning (“ESL”, Springer 2009)
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