intfloat / coursera

related materials for coursera & edx MOOCs, will no longer update.

coursera

I enjoy taking MOOCs, it is fun and amazing.

Here is a list of my finished or ongoing courses:

Course	University
Machine Learning	Stanford University
Neural Networks for Machine Learning	University of Toronto
Programming Languages	University of Washington
Algorithm Design and Analysis, Part 1	Stanford University
Algorithm Design and Analysis, Part 2	Stanford University
Convex Optimization	Stanford University
Introduction to Databases	Stanford University
Machine Learning Foundations	National Taiwan University
Cryptography I	Stanford University
Computing for Data Analysis	Johns Hopkins University,
Programming Mobile Applications for Android Handheld Systems	University of Maryland, College Park
Compilers	Stanford University
Web Application Architectures	University of New Mexico
Interactive Computer Graphics with WebGL	University of New Mexico
Functional Programming Principles in Scala	École Polytechnique Fédérale de Lausanne
Introduction to Data Science	University of Washington
Algorithms I	Princeton University
Algorithms II	Princeton University
High Performance Scientific Computing	University of Washington
Automata	Stanford University
Introduction to Operations Management	University of Pennsylvania
Pattern-Oriented Software Architecture	Vanderbilt University
Mining Massive Datasets	Stanford University
Computer Networks	University of Washington
Machine Learning Techniques	National Taiwan University
Pattern Discovery and Data Mining	UIUC
Heterogeneous Parallel Programming	UIUC
Image and Video Processing	Duke University
Principles of Reactive Programming	École Polytechnique Fédérale de Lausanne
Introduction to Bootstrap	Microsoft
Artificial Intelligence	UC Berkeley
Introduction to Big Data with Apache Spark	UC Berkeley

## Sincere thanks to all professors involved.