Resources

A Few Useful Things to Know about Machine Learning

CheatSheets for R

https://github.com/writezhe/R_for_MLPS_cheatsheets provides a list of "cheatsheets" introducing R for the course,
including commands, brief examples, and references necessary for each lecture.

Linear Algebra Review (Prerequisite)

Text:

• Linear Algebra Review
• Linear Algebra and Matrices

Slides:

• Linear Algebra Review

Videos:

• Essence of Linear Algebra

Probability Review (Prerequisite)

Text:

• Probability Cheatsheet
• Probability Reminders
• Review of Basic Concepts in Probability by Padhraic Smyth
• Review of Probability (book chapter)
• Probability Theory Review (optional)

Slides:

• Probability for Data Miners (1 to 25) by Andrew Moore
• Some Probability and Statistic (1 to 28) by David Blei
• Review of Probability by William Cohen

Tools (some open-source)

• Tableau for information visualization (free under academic program)
• Trifacta for data wrangling
• Prefuse for information visualization
• Cytoscape for network analysis
• WEKA: open-source machine learning toolkit
• scikit-learn Python libraries for machine learning
• SAS-Enterprise Miner for data analytics
• List of useful software

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