This is a small subset of a vast reference published by Eren Golge. I've selected what I believe to be of interest to many of us, but the initial list is far bigger.

Source: MIT (credit risk models based on machine learning)

Introduction to Machine Learning

Support Vector Machines


Dimensionality Reduction

 Anomaly Detection

Recommender Systems

Collaborative Filtering

Large Scale Machine Learning

Machine Learning 201

Deep Learning:

Sparse Coding (new):

Some good articles on working with the command line:



Other (internal, DSC) links

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