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adding authors to intro to machine learning
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Joseph Misiti 2015-05-17 13:34:02 -04:00
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@ -14,12 +14,12 @@ The following is a list of free, open source books on machine learning, statisti
* [A First Encounter with Machine Learning](https://www.ics.uci.edu/~welling/teaching/273ASpring10/IntroMLBook.pdf) * [A First Encounter with Machine Learning](https://www.ics.uci.edu/~welling/teaching/273ASpring10/IntroMLBook.pdf)
* [Pattern Recognition and Machine Learning](http://www.hua.edu.vn/khoa/fita/wp-content/uploads/2013/08/Pattern-Recognition-and-Machine-Learning-Christophe-M-Bishop.pdf) * [Pattern Recognition and Machine Learning](http://www.hua.edu.vn/khoa/fita/wp-content/uploads/2013/08/Pattern-Recognition-and-Machine-Learning-Christophe-M-Bishop.pdf)
* [Machine Learning & Bayesian Reasoning](http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/090310.pdf) * [Machine Learning & Bayesian Reasoning](http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/090310.pdf)
* [Introduction to Machine Learning](http://alex.smola.org/drafts/thebook.pdf) * [Introduction to Machine Learning](http://alex.smola.org/drafts/thebook.pdf) - Alex Smola and S.V.N. Vishwanathan
* [A Probabilistic Theory of Pattern Recognition](http://www.szit.bme.hu/~gyorfi/pbook.pdf) * [A Probabilistic Theory of Pattern Recognition](http://www.szit.bme.hu/~gyorfi/pbook.pdf)
* [Introduction to Information Retrieval](http://nlp.stanford.edu/IR-book/pdf/irbookprint.pdf) * [Introduction to Information Retrieval](http://nlp.stanford.edu/IR-book/pdf/irbookprint.pdf)
* [Forecasting: principles and practice](http://otexts.com/fpp/) * [Forecasting: principles and practice](http://otexts.com/fpp/)
* [Practical Artificial Intelligence Programming in Java](http://www.markwatson.com/opencontent_data/JavaAI3rd.pdf) * [Practical Artificial Intelligence Programming in Java](http://www.markwatson.com/opencontent_data/JavaAI3rd.pdf)
* [Introduction to Machine Learning](http://arxiv.org/pdf/0904.3664v1.pdf) * [Introduction to Machine Learning](http://arxiv.org/pdf/0904.3664v1.pdf) - Amnon Shashua
* [Reinforcement Learning](http://www.intechopen.com/books/reinforcement_learning) * [Reinforcement Learning](http://www.intechopen.com/books/reinforcement_learning)
* [Machine Learning](http://www.intechopen.com/books/machine_learning) * [Machine Learning](http://www.intechopen.com/books/machine_learning)
* [A Quest for AI](http://ai.stanford.edu/~nilsson/QAI/qai.pdf) * [A Quest for AI](http://ai.stanford.edu/~nilsson/QAI/qai.pdf)
@ -29,6 +29,7 @@ Social Scientists](http://faculty.ksu.edu.sa/69424/us_BOOk/Introduction%20to%20A
* [Bayesian Modeling, Inference * [Bayesian Modeling, Inference
and Prediction](http://users.soe.ucsc.edu/~draper/draper-BMIP-dec2005.pdf) and Prediction](http://users.soe.ucsc.edu/~draper/draper-BMIP-dec2005.pdf)
* [A Course in Machine Learning](http://ciml.info/) * [A Course in Machine Learning](http://ciml.info/)
* [Machine Learning, Neural and Statistical Classification](http://www1.maths.leeds.ac.uk/~charles/statlog/)
## Natural Language Processing ## Natural Language Processing