There’s lots of content on machine learning out there and sometimes is hard to decide from which material to choose. The content here is what I usually share with others that ask for recommendations. The materials here are those that worked for me on my journey through AI.
Data Science, Stats and Machine Learning
Books
| Name |
Author(s) |
Notes |
| Machine Learning Q and AI |
Sebastian Raschka |
Great to review topics on recent ML (neural nets) |
| Machine Learning Engineering |
Andriy Burkov |
Overview how models reach production |
| Super Study Guide: Transformers and Large Language Models |
Afshine and Shervine Amidi |
Awesome content on Transformers, specially for visual learners |
| The Hundred-Page Machine Learning Book |
Andriy Burkov |
Overview on ML topics |
| Hands-On Machine Learning |
Aurélien Géron |
Practical ML |
| How to Lie with Statistics |
Darrell Huff |
Classic on statistical thinking |
| Weapons of Math Destruction |
Cathy O’Neil |
How big data and algorithms can increase inequality |
| The Chaos Machine |
Max Fisher |
Impact of social media on society |
Courses
| Name |
Author(s) |
Notes |
| Stanford CS336 Language Modeling from Scratch |
Percy Liang, Tatsunori Hashimoto |
In-depth class about LLMs |
| Stanford CS229 Machine Learning |
Andrew Ng |
Classic, theory + math |
| Coursera Machine Learning Specialization |
Andrew Ng |
Most famous course on ML out there |
AI Engineering
| Name |
Author(s) |
Link |
| Latent Space: The AI Engineer Podcast |
- |
https://www.latent.space/podcast |
| AI Engineer YT channel |
- |
https://www.youtube.com/@aiDotEngineer |
| AI Jason YT channel |
Jason Zhou |
https://www.youtube.com/@AIJasonZ |
| Desigining Machine Learning Systems |
Chip Huyen |
https://www.amazon.com/Designing-Machine-Learning-Systems-Huyen-ebook/dp/B0B1LGL2SR |
| AI Engineering book |
Chip Huyen |
https://www.amazon.com.br/AI-Engineering-Building-Applications-Foundation/dp/1098166302 |
| Chip Huyen’s blog |
- |
https://huyenchip.com/blog/ |
If you are starting, I would suggest taking a look at the posts on Chip’s blog and the content on AI Engineer YT channel. If you want to dive deep, AI Engineering book. For designing ML systems in general - not only related to GenAI etc - I would definetely take a look at Desigining Machine Learning Systems. AI Jason YT channel has great content on agents usage, suggestions on how to use them properly, and cool ideas to develop. Latent Space is an awesome podcast that talks about this topic as well.
Tutorials
| Name |
Author(s) |
Notes |
Link |
| Intro to Machine Learning |
Kaggle |
Hands-on for beginners |
kaggle |
| Intermediate Machine Learning |
Kaggle |
Hands-on for beginners |
kaggle |
Programming
| Name |
Author(s) |
Notes |
| Clean Code |
Robert C. Martin |
A classic on how to write maintainable code |
| Domain-Driven Design |
Eric Evans |
Also a classic on great code |
Other stuff
| Name |
Type |
Author(s) |
Notes |
| Empire of AI |
Book |
Karen Hao |
Impact of AI on a global scale |
| Crucial Conversations |
Book |
Joseph Grenny and others |
Tips on how to handle difficult conversations |
| Freaknomics |
Book |
Steven Levitt and Stephen Dubner |
If you are a curious person, this is a great book |
| The Phoenix Project |
Book |
Gene Kim, Kevin Behr, George Spafford |
Classic on tech companies organization |
| The Creative Act: A Way of Being |
Book |
Rick Rubin |
Discussion on creativity |
| Dracula |
Book |
Bram Stooker |
My favorite book |
Last updated: October 2025