From 05dce84f34868c8d427a54992a9f393a719aceba Mon Sep 17 00:00:00 2001 From: Ajinkya Kale Date: Thu, 14 May 2015 22:03:14 -0700 Subject: [PATCH] adding authors to intro to machine learning Adding authors to same titled links. Adding Machine Learning, Neural and Statistical Classification book link. --- books.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/books.md b/books.md index 43abd6f..2ce3e6a 100644 --- a/books.md +++ b/books.md @@ -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) * [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) -* [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) * [Introduction to Information Retrieval](http://nlp.stanford.edu/IR-book/pdf/irbookprint.pdf) * [Forecasting: principles and practice](http://otexts.com/fpp/) * [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) * [Machine Learning](http://www.intechopen.com/books/machine_learning) * [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 and Prediction](http://users.soe.ucsc.edu/~draper/draper-BMIP-dec2005.pdf) * [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