Machine Learning and Deep Learning Free Online Courses

Basic probability & statistics

• Harvard’s Statistics 110 (Probability): very famous course. Course website and book
• Bayesian inference by Prof. Jarad Niemi
  course website

Optimization & Background for Machine Learning and Deep Learning

• CMU’s Math background for Machine Learning
• CMU’s Convex Optimization [slide+videos]

Machine Learning

• Stanford CS229 Machine Learning I Youtube 2022
• Python, ML cheatsheets, and learning songs
• Google’s Machine Learning Crash Course
• Berkeley’s CS294-158 Deep Unsupervised Learning Spring 2019 course with videos
• CMU’s graduate AI
• CMU Statistical Machine Learning : mainly about theoratical nonparametric statistics. youtube videos
• CMU 10-605 Machine Learning With Large Datasets-fall 2016
• Stanford’s Machine Learning specialization
• Stanford Seminar – ML Explainability

Deep learning:

Introductory courses

• MIT’s 6.S191: Introduction to Deep Learning
• Caltech’s CS156: Learning from data

• Standford’s CS 230: Deep Learning | Autumn 2018 (youtube)
• Stanford-cs221: Artificial Intelligence: Principles and Techniques (Autumn 2019-2020) on Youtube

Advanced:

• Stanford’s CS231n: Convolutional Neural Networks for Visual Recognition youtube video playlist
• Stanford’s CS234: Reinforcement learning
• Stanford CS224n: Natural Language Processing with Deep Learning with youtube video playlist
• Stanford CS224U: Natural Language Understanding | Spring 2019
• Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
• Stanford CS236: Deep Generative Models
• Stanford CS520: Knowledge Graph Seminar (Spring 2020)
• Standford CS 330: Deep Multi-Task and Meta Learning (Fall 2020) Youtube video lectures
• Stanford CS25: Transformers United on YouTube
• Stanford AA228/CS238 Decision Making Under Uncertainty I Policy Gradient Estimation and Optimization and Stanford AA228/CS238 Decision Making Under Uncertainty I Online Planning and Policy Search

Programming courses

• Stanford’s programming methodlogy
• Stanford: A Second Course in Algorithms
• Stanford: algorithms
• Stanford’s CS107: Programming Paradigms
• Stanford’s Introduction to database
• Stanford’s CS 154 – Introduction to the Theory of Computing
• Stanford’s CS 106A Programming Methodology – Spring 2017
• Stanford’s CS 161: Design and Analysis of Algorithms
• Stanford’s CS 110: Principles of Computer Systems
• A nice youtube channel for Python newbies
• MIT: Introduction to Computer Science and Programming in Python Fall 2016 with Youtube videos

Other:

Google Cloud Machine Learning Crash Course:

• Description: A fast-paced, practical introduction to machine learning, featuring video lectures, interactive visualizations, and hands-on practice exercises.
• Link: Google Cloud Machine Learning Crash Course