- clj-fuzzy - A handy collection of algorithms dealing with fuzzy strings and phonetics
- Curated list of machine learning tools https://github.com/josephmisiti/awesome-machine-learning#clojure
- Machine Learning & statistical inference library
- Simple tf-idf in 30 lines of clojure
- Tutorial: Building a Text Classification System
- Judgr - Multi-class Naïve Bayes Classifier library written in Clojure
- clj-ml - A machine learning library for Clojure built on top of Weka and friends.
- An Introduction To Statistical Learning - Book + R Code
- Elements of Statistical Learning - Book
- Probabilistic Programming & Bayesian Methods for Hackers - Book + IPython Notebooks
- Think Bayes - Book + Python Code
- 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 - Alex Smola and S.V.N. Vishwanathan
- A Probabilistic Theory of Pattern Recognition
- Introduction to Information Retrieval
- Forecasting: principles and practice
- Practical Artificial Intelligence Programming in Java
- Introduction to Machine Learning - Amnon Shashua
- Reinforcement Learning
- Machine Learning
- A Quest for AI
- Introduction to Applied Bayesian Statistics and Estimation for Social Scientists
- Bayesian Modeling, Inference and Prediction
- A Course in Machine Learning
- Machine Learning, Neural and Statistical Classification
- Bayesian Reasoning and Machine Learning Book+MatlabToolBox
- A reagent application designed to recommend educational content to further- and higher-education teachers.
- Coursera Course Book on NLP
- NLTK
- NLP w/ Python
- Foundations of Statistical Natural Language Processing
- RealImpact - Using telecom data for social good
- Datakind - Harnessing the power of data science in the service of humanity
- The ASI
- Pivigo - The Data Science Hub
- IBM Watson: Six lessons from an early adopter on how to do machine learning
- 10 Data Acquisition Strategies for Startups
- Think Stats - Book + Python Code
- From Algorithms to Z-Scores - Book
- The Art of R Programming - Book (Not Finished)
- All of Statistics
- Introduction to statistical thought
- Basic Probability Theory
- Introduction to probability - By Dartmouth College
- Principle of Uncertainty
- Probability & Statistics Cookbook
- Advanced Data Analysis From An Elementary Point of View
- Introduction to Probability - Book and course by MIT
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction. -Book
- An Introduction to Statistical Learning with Applications in R - Book
- Learning Statistics Using R
- Introduction to Probability and Statistics Using R - Book
- Advanced R Programming - Book
- Practical Regression and Anova using R - Book
- R practicals - Book
- The R Inferno - Book