Technical interviewing involves discussion of a series of inter-related problems, which is essentially Socratic teaching in action!

A strong foundation in linear algebra makes it easy to understand techniques in machine learning and statistics. Gilbert Strang is a fantastic professor who has taught this course for over 30 years at MIT.

A list of problems that have linear time algorithms. It is fun to discover the algorithms.

Some tricks that help you shrink the size of your conference paper submissions.

My Erdös Number is 2, thanks to seven different co-authors whose number is 1.

Several customizations I made to Emacs in 2002.

Simplicity!

Can mathematical proofs be mere pictures?

This problem emerged in a research paper published in 2007

A list of sites with CS puzzles.

Resources for Machine Learning

Resources for Natural Language Understanding

Resources for Reinforcement Learning

Recent papers and resources for Knowledge Representation

Resources for Gamification

Resources for Creativity

Resources for Data Visualization

Resources for Marketing & Advertising

Resources for Deep Learning.

Resources for Multimodal Interfaces

Resources for Distributed Systems

Resources for Programming: C++, Python

Resources for UX Programming

Resources for music composition.

Resources for NLP Self Study.