Machine learning
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Pattern Recognition and Machine Learning (PRML)
by Christopher Bishop
link on douban
more:
PRML algorithms implemented in Python
Matlab code for machine learning algorithms in book PRML
PRML读书会
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The Elements of Statistical Learning (ESL)
by Trevor Hastie / Robert Tibshirani / Jerome Friedman
link on douban
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Machine Learning: A Probabilistic Perspective (MLAPP)
by Kevin P·Murphy
link on douban
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Foundations of Machine Learning
by Mehryar Mohri / Afshin Rostamizadeh / Ameet Talw
link on douban
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An Introduction to Statistical Learning
by Gareth James / Daniela Witten / Trevor Hastie / Robert Tibshirani
link on douban
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Probabilistic Graphical Models
by Daphne Koller / Nir Friedman
link on douban
more
course on cousera
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An Introduction to Probabilistic Graphical Models
by Michael Jordan
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机器学习
by 周志华
link on douban
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统计学习方法
by 李航
link on douban
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Deep Learning: Adaptive Computation and Machine Learning series
by Ian Goodfellow / Yoshua Bengio / Aaron Courville
link on douban
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Neural Networks and Learning Machines
by Simon Haykin
link on douban
Mathematics
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Matrix computation
by Gene H. Golub / Charles F. Van Loan
link on douban
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Matrix Analysis
by Roger A.Horn, Charles R.Johnson
link on douban
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Linear Algebra and Its Applications
by David C. Lay
link on douban
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