links: online books and resources
- Data Mining and Analysis
- Introduction to Information Retrieval
- Bayesian Reasoning and Machine Learning
- Awesome Public Datasets
- List of Free Must-Read Machine Learning Books
- 10 Free Must-Read Books for Machine Learning and Data Science
- Linear algebra cheat sheet for deep learning
- Frequentism and Bayesianism: A Practical Introduction
- Introduction to Probability
- Think Stats: Probability and Statistics for Programmers
- OpenIntro Statistics
- Probability and Statistics Cookbook
- Introduction to Machine Learning
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Mining of Massive Datasets
- Data Mining:Concepts and Techniques (2nd ed., 2006)
- Data-Intensive Text Processing with MapReduce
- Statistical foundations of machine learning
- Non-Uniform Random Variate Generation
- Combinatorial Stochastic Processes
- Reversible Markov Chains and Random Walks on Graphs
- Convex Optimization
- Practical Optimization: A Gentle Introduction
- Linear Programming: Foundations and Extensions (2nd Edition)
- random.org
- Kaggle Datasets
- Fueling the Gold Rush: The Greatest Public Datasets for AI
- Awesome Public Datasets
- Datasets for Data Mining and Data Science
- Web Inventory of Transcribed and Translated Talks
- Web Data Commons – Web Tables
- The ClueWeb09 Dataset
- Mining Massive Data Sets
- Introduction to Computational Advertising
- Statistics (jbstatistics) (youtube)
- All you want to know about Gaussian Processes – CVPR 2012 Tutorial
- Bayesian Nonparametrics: Random Partitions – MLSS 2011
(in Japanese)