All | (Big) Data Analytics | Algorithms | Artificial Intelligence | Bayesian Networks | Business & Strategy | Computer Vision | Data Journalism | Data Mining | Data Scientists | Data Structures | Data Visualization | General Data Science | Hadoop, MapReduce | Information Retrieval | Linear Regression | Linguistic | Machine Learning, Predictive Analytics | Math | Metadata | Natural Language Processing | Network Science | Other Sites with Free Data Science Resources | Probability | Python | R | Singularity/Transhumanism | Statistics | Text MiningProbability and Statistics Cookbook.
Probabilistic Models in the Study of Language. Probabilistic models in scientific work on language ranging from experimental data analysis to corpus work to cognitive modeling
Introduction to Probability. Introductory probability course
Think Stats: Probability and Statistics for Beginners. Emphasizes the use of statistics and a computational approach to explore large datasets
Computer Vision: Models, Learning, and Inference. A principled model-based approach to computer vision that unifies disparate algorithms, approaches, and topics under the guiding principles of probabilistic models, learning, and efficient inference algorithms
Probabilistic Programming & Bayesian Methods for Hackers. Intro to Bayesian methods and probabilistic programming