Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2021)

Last update: Dec 31, 2022

Overview

Applied Machine Learning (Cornell CS5785, Fall 2021)

This repo contains executable course notes and slides for the Applied ML course at Cornell and Cornell Tech (Fall 2021 edition).

Note that these notes are slightly different from the ones used in my Youtube lecture videos videos from the Fall 2020 edition of the course. You may find these in my other Github repo.

This repo is organized as follows.

.
├── README.md
├── notebooks             # Notebooks and slides
└── requirements.txt      # Packages needed for your virtualenv

Setup

Requirements

You should be able to run all the contents of this repo using the packages provided in requirements.txt.

In a new virtualenv, run this:

pip install -r requirements.txt

Feedback

Please send feedback to Volodymyr Kuleshov

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Comments

fix vector y in lecture 2 slides

As discussed in class, I found a few extremely minor changes to the slides and was advised to create a pull request. In lecture2-supervised-learning.ipynb, I changed vector y (the last equation in the slide deck) to be a column of $y^{(1)} ... y^{(n)}$ instead of $x^{(1)} ... x^{(n)}$.

opened by ananya834 1

fix lecture3 rendering issue

Reference: a nbconvert issue in 2017

At present, nbconvert only handles block math correctly if it’s at the start of the line. 
This is a discrepancy between our processing of math blocks in the live notebook and in nbconvert.

opened by lydhr 0

Add system dependencies to docs
Hello @kuleshov, thank you very much for your impressive work and your sharing efforts.

When I was following the instructions to compile the notes, slides and pdfs, I found out I had to install some system packages needed for pandoc to work. In Ubuntu, these are:

sudo apt-get install sudo apt-get install texlive-xetex texlive-fonts-recommended texlive-plain-generic pandoc

I suggest this could be added to the README so nobody gets stuck due to that. These TeX dependencies will likely be installed already in the computers of most researchers, but not in so many applied practitioners who will be interested in this applied course :smiley: .

Kind regards, Javier
opened by JavierBJ 1

Owner

Volodymyr Kuleshov

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