[Free AI Resource] I released a free book on freeCodeCamp: “The Math Behind AI”

I have been writing articles on freeCodeCamp for a while (20+ articles, 240K+ views).

Recently, I completed my biggest project!

I explain the math from an engineering perspective and connect how math solves real life problems and makes billion dollar industries possible.

For example, in “Chapter 6: Probability & Statistics – Learning from Uncertainty” I explain how Markov chains allow the application of the Markov decision processes, which is the foundation for all RL and DRL.

The chapters:

Chapter 1: Background on this Book
Chapter 2: The Architecture of Mathematics
Chapter 3: The Field of Artificial Intelligence
Chapter 4: Linear Algebra – The Geometry of Data
Chapter 5: Multivariable Calculus – Change in Many Directions
Chapter 6: Probability & Statistics – Learning from Uncertainty
Chapter 7: Optimization Theory – Teaching Machines to Improve
Conclusion: Where Mathematics and AI Meet

Everything is explained in plain English with code examples you can run!

Read it here: https://www.freecodecamp.org/news/the-math-behind-artificial-intelligence-book/

GitHub: https://github.com/tiagomonteiro0715/The-Math-Behind-Artificial-Intelligence-A-Guide-to-AI-Foundations