MITx_6.86x - Machine Learning with Python: from Linear Models to Deep Learning

https://www.edx.org/course/machine-learning-with-python-from-linear-models-to

Lecturers: Regina Barzilay, Tommi Jaakkola, Karene Chu

Student's notes (2020 run)

Disclaimer: The following notes are a mesh of my own notes, selected transcripts, some useful forum threads and various course material. I do not claim any authorship of these notes, but at the same time any error could well be arising from my own interpretation of the material.

Contributions are really welcome. If you spot an error , want to specify something in a better way (English is not my primary language), add material or just have comments, you can clone, make your edits and make a pull request (preferred) or just open an issue.

(PDF versions may be slightly outdated)

• Unit 00 - Course Overview, Homework 0, Project 0: [html][pdf][src]

• Unit 01 - Linear Classifiers and Generalizations: [html][pdf][src]

• Unit 02 - Nonlinear Classification, Linear regression, Collaborative Filtering: [html][pdf][src]

• Unit 03 - Neural networks: [html][pdf][src]