Welcome to my blog! In this first post, I'd like to share some of the resources that have helped me learn. I hope they can be helpful for you too. If you know of any other useful resources, feel free to send me a message on X and I'll take a look and possibly add them to the list.
AI and robotics are enormous fields with many different areas to explore. Personally, I tend to focus on...
- Reinforcement Learning to continuous control.
- Simulation and control for Robotics systems.
- Computer Architecture trends for accelerate neural networks and Robotics.
Yeah is a lot!!!.
Books
- Deep Learning
- Grokking Deep Learning by andrew trask I love this book it is very simple to understand.
- Reinforcement Learning:an introduction the bible of RL.
- Computer-Controlled Systems: Theory and Design
- Modern Robotics
- Computer Systems: A Programmer's Perspective
- Digital Design and Computer Architecture
- The Art of Electronics
Blogs
Courses
- Coursera Reinforcement learning
- Berkeley Reinforcement learning
- Deepmind Reinforcement learning youtube
- NYU Deep learning
- https://www.learnpytorch.io/
Sources
- Google Scholar to find research papers.
- arXiv research papers.
- Papers with code to find papers with code examples.
- Distill interactive articles about AI.
- spinning up a good intro to RL.
- The AI Epiphany Aleksa Gordic youtube channel.
- Steve Brunton youtube channel. Math stuff
- 3blue1brown youtube channel Best for math stuff