Probability and Linear Algebra: Review

• Probability Review
• Probability Cheatsheet
• Linear Algebra Review
• Linear Algebra and Matrices

Other background material

• Probability for Data Miners (1 to 25) by Andrew Moore
• Review of Basic Concepts in Probability by Padhraic Smyth
• Review of Probability (book chapter)
• Linear Algebra Review Slides
• Introduction to Linear Models and Matrix Algebra

Reference readings

• A Practical Intro to Data Science
• List of Relevant Courses and Books

Visualization software

• Prefuse (Information visualization software)
• Cytoscape
• Gephi (Graph visualization software)
• GraphViz
• NetDraw

Graph analysis software

• SNAP (C++)
• NetworkX (Python)
• Matlab_BGL

Related courses on the Web

• Mining Massive Datasets by Jure Leskovec
• Multimedia Databases and Data Mining by Christos Faloutsos
• Introduction to Data Science by Columbia University
• Introduction to Data Science by Bill Howe
• Data and Visual Analytics by Duen Horng (Polo) Chau

ML/KD contests and datasets

• Kaggle
• KDD Cup
• Datasets for Data Science
• Large collection of network datasets
• Awesome Public Datasets
• UCI datasets
• ProPublica Data Store
• NYC Open Data and Taxi Data
• Boston taxi data
• Graph data at SNAP and KONECT
• Outlier Detection Data Sets (ODDS)
• UCR Time Series Classification Archive
• Stance identification dataset for fake news detection
• LastFM
• Foursquare check-ins
• AOL query logs
• Product review datasets
• Amazon product reviews and more
• Yelp Data Challenge
• Online reviews from SNAP
• Amazon product data
• Amazon question/answer data
• Stack Exchange Data Dump
• Physician referral data
• Google public datasets
• List of large datasets open to public
• U.S. Government's open data
• Million Song Dataset
• Quandl - a dataset search engine
• Free 'big data' sources'
• AWS Public Datasets
• Academic data: Microsoft Academic Data and DBLP

Misc. resources

• ACM SIGKDD home page (main data mining conference) tools, datasets, other resources
• KDD nuggets: wealth of information - datasets, software, jobs, call for papers etc.