Mathematics for Computer Science (PDF book) http://t.co/AfQrN4zb

tablib: a Python Module for Tabular Datasets in XLS, CSV, JSON, YAML etc: http://t.co/LfIiRNw

Mavuno: A Hadoop-Based Text Mining Toolkit http://t.co/Z6JBxEvy

Instructions on how to create an AMI. Best set of instructions I have seen. http://bit.ly/fiT3Q5

RT @statfact: Notes for Brad Efron's course in large-scale data analysis http://t.co/3iqTsjU

Google LaTeX Web Application. includes editor, compilers and PDF generation: http://docs.latexlab.org

Collaborative Filtering using Likes and Dislikes: http://t.co/pyNwDCa8

Boyd's Convex Optimization book available for free: http://t.co/P2kugGq Didn't realize the 2nd author was the Vandenberghe from UCLA! w00t!

Spark: "Lightning-Fast Cluster Computing" Based on Scala, supposedly outperforms Hadoop: http://t.co/bmNTluv

A practical book on data mining with #rstats! "Data Mining With R, Learning with Case Studies," by Luis Torgo http://amzn.to/dmKnBX

RT @bigdata: Text Mining and Twitter II - Python code for Analyzing Streaming Data Sets http://bit.ly/bWYrLQ

Open Source Web Mining Toolkit: Bixo http://t.co/nuDJNuMY

RT @siah: Chris Manning's NLP lectures at Stanford are now available online [http://t.co/0vuZMpP]

Peter Norvig's Infrequently Asked Questions about Python (some cool stuff!) http://t.co/7GlBvGa

Mining of Massive Datasets (now with Jure Leskovec as co-author)  http://infolab.stanford.edu/~ullman/mmds/book.pdf … [via @siah]

Stanford Unsupervised Feature Learning and Deep Learning Tutorial: http://t.co/yCV7nOdK

Number theory is so cool: 111111*111111 = 12345654321, also a palindrome

Good, quick comparison: Cassandra vs MongoDB vs CouchDB vs Redis vs Riak vs HBase vs Membase vs Neo4j http://t.co/W2mTEz5o

Extracting Meaning from Millions of Pages http://t.co/8odduGK

Slides from David Blei's tutorial on probabilistic topic models: http://t.co/EDYxcH0 #kdd2011