機器學習數據挖掘免費電子書集合
開源免費電子書集合，包括機器學習、數據挖掘、自然語言處理和數學等。
本文是WIKI頁面，請自由的參與到這個列表的貢獻。
機器學習/數據挖掘
- An Introduction To Statistical Learning1 - 書 + C++代碼
- Elements of Statistical Learning - 書
- Probabilistic Programming & Bayesian Methods for Hackers - 書 + IPython Notebooks
- Thinking Bayes1 - 書 + Python代碼
- Information Theory, Inference, and Learning Algorithms
- Gaussian Processes for Machine Learning
- Data Intensive Text Processing w/ MapReduce
- Reinforcement Learning: - An Introduction
- Mining Massive Datasets
- A First Encounter with Machine Learning
- Pattern Recognition and Machine Learning
- Machine Learning & Bayesian Reasoning
- Introduction to Machine Learning
- A Probabilistic Theory of Pattern Recognition
- Introduction to Information Retrieval
- Forecasting: principles and practice
- Practical Artificial Intelligence Programming in Java
- Introduction to Machine Learning
- Reinforcement Learning
- Machine Learning
- A Quest for AI
- Introduction to Applied Bayesian
Statistics and Estimation for
Social Scientists - Bayesian Modeling, Inference
and Prediction
自然語言處理
概率和統計
- Thinking Stats - 書 + Python 代碼
- From Algorithms to Z-Scores - 書
- The Art of R Programming - 書
- All of Statistics
- Introduction to statistical thought
- Basic Probability Theory
- Introduction to probability
- Principle of Uncertainty
- Probability & Statistics Cookbook
- Advanced Data Analysis From An Elmentary Point of View
線性代數
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