# Course Resources

## Contents

# Course Resources#

(Last updated: Mar 20, 2023)

This page curates a list of resources that are used or referenced in this course. These resources also inspired the development of this course.

## PDF Books#

Below is a list of books (in PDF form).

Advanced Data Analysis from an Elementary Point of View and the PDF file

Computer Age Statistical Inference: Algorithms, Evidence and Data Science and the PDF file

Machine Learning and the PDF file

Convex Optimization and the PDF file

Introduction to Statistics and Data Analysis and the PDF file

Computer Vision: Algorithms and Applications and the PDF file downloading link

Deep Reinforcement Learning and the PDF file downloading link

## Web Books#

Below is a list of web books (in HTML form).

## Machine Learning Courses#

Below is a list of course notes and materials for machine learning.

CS4780: Machine Learning for Intelligent Systems, Cornell University

10-601: Introduction to Machine Learning, Carnegie Mellon University

36-702: Statistical Machine Learning, Carnegie Mellon University

Cheatsheet for AI, machine learning, and deep learning courses, Stanford University

CSC2541 Machine Learning: Neural Net Training Dynamics, University of Toronto

CSC 311: Introduction to Machine Learning, University of Toronto

Intro and Overview Machine Learning Lecture, Stuttgart Media University

CIS 419/519 : Applied Machine Learning, University of Pennsylvania

## Statistics Courses#

Below is a list of course notes and materials for statistics.

## Data Science Courses#

Below is a list of course notes and materials for data science.

Data 8: The Foundations of Data Science, UC Berkeley and its course note

DSC 10: Principles of Data Science, UC San Diego and its course note

I310D: Introduction to Human-Centered Data Science, University of Texas at Austin

Human-Centered Data Science, FU Berlin and their course materials

Introduction to Research Data Science, The Alan Turing Institute

Cheatsheet for data science tools, Massachusetts Institute of Technology

COMP 5360: Introduction to Data Science, University of Utah and its GitHub

## Deep Learning Courses#

Below is a list of course notes and materials for deep learning.

## Computer Vision Courses#

Below is a list of course notes and materials for computer vision.

## Natural Language Processing Courses#

Below is a list of course notes and materials for natural language processing.

## Reinforcement Learning Courses#

Below is a list of course notes and materials for reinforcement learning.

## Videos#

Below is a list of online learning videos.

Statistics and machine learning: StatQuest and their YouTube channel

Animated math: 3Blue1Brown and their YouTube channel

Mike X Cohenâ€™s YouTube channel that teaches math and statistics

## Others#

Below is a list of other resources for self-learning.

Below is a list of resources that describe how to build a Jupyter Book.