Here you’ll find links to useful resources on machine learning.
| Institution | Instructor | Name of the course | Code |
|---|---|---|---|
| Caltech (California Institute of Technology) | Yaser S. Abu-Mostafa | Learning from Data | |
| Stanford | Andrew Ng | Machine Learning | |
| Stanford | Andrew Ng | Unsupervised Feature Learning and Deep Learning | |
| Carnegie Mellon University | Tom Mitchell | Machine Learning | |
| Coursera/Stanford | Andrew Ng | Machine Learning | |
| Edx/Berkeley | Ameet Talwalkar | Scalable Machine Learning | |
| Udacity | Sebastian Thrun/Katie Malone | Intro to Machine Learning | |
| Udacity/GeorgiaTech | Michael Littman/Charles Isbell | Machine Learning | |
| Data School | Kevin Markham | Introduction to machine learning with scikit-learn | |
| Udacity | Sebastian Thrun | Intro to Statistics | st101 |
| Stanford | Richard Socher | Deep Learning for Natural Language Processing | cs224d |
| Researcher/Team | Web address |
|---|---|
| Andrew Ng | http://cs.stanford.edu/people/ang/ |
| Adam Coates | http://www.cs.stanford.edu/~acoates/ |
| Sierra Research Team | http://www.di.ens.fr/sierra/ |
| Yann LeCun | http://yann.lecun.com/ |
| Michael Littman | http://cs.brown.edu/~mlittman/ |
| Charles Isbell | http://www.cc.gatech.edu/~isbell/ |
| Software name | Notes |
|---|---|
| Matlab | |
| Gnu Octave | |
| Gnu Plot |
| Library name | Notes |
|---|---|
| LIBSVM | |
| LIBLINEAR | |
| Math.Net |
| What is in it? | Notes |
|---|---|
| Stanford CS229 | |
| Stanford CS294a | |
| Meachine Learning courses on CosmoLearning | |
| Deep Learning courses by Andrew Ng | |
| Read the Web | |
| Adam Coates and Andrew Ng on Reddit |
| Journal name | Notes |
|---|---|
| Gaussian Process |
| Main subject | Title | Notes |
|---|---|---|
| K-NN algorithm | Discriminatory Analysis | unpublished technical report |
| Spark | Spark: Cluster Computing with Working Sets | |
| Spark | Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing | |
| Spark - MLlib | MLlib: Machine Learning in Apache Spark |
| Article name | Notes |
|---|---|
| Simpson’s Paradox | |
| Deep learning weekly |
| Data | Notes |
|---|---|
| MatrixMarket | |
| Machine Learning Repository | |
| the MNIST database of handwritten digit | |
| MovieLens | |
| Dataset gathered by Michael Stob | There are several data sets that can be of interest to test algorithms, includes also UC Berkeley Admissions data (Simpson’s Paradox data) |
| Last.fm Web Services |
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