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The Foundational Mathematics of Artificial Intelligence

The Foundational Mathematics of Artificial Intelligence

July 31, 2022

Tons of people make use of AI to solve problems, But 99% of them don’t understand the Maths behind it.


If you want to understand the Maths behind AI. Look no further than Stephen Odaibo’s "The Foundational Mathematics of Artificial Intelligence" it is now available in paperback on Amazon.


The book covers the Essential AI algorithms and the mathematics behind them, broken down into 20 chapters.


Here is what you will gain from this great piece of book:


  1. The True History of AI
  2. The Building Blocks (Calculus & Linear Algebra)
  3. Linear Regression
  4. Logistic Regression
  5. Constrained Optimization
  6. Support Vector Machines
  7. Fourier Transforms
  8. Eigenvalue Decomposition
  9. Singular Value Decomposition
  10. Principal Component Analysis
  11. Neural Networks
  12. Deep Reinforcement Learning
  13. Generative Adversarial Networks
  14. Variational Autoencoders
  15. Diffusion Denoising Probabilistic Models
  16. Word Embedding: Word2Vec
  17. Attention Mechanism
  18. Transformer Architecture
  19. Contrastive Learning Image Pretraining (CLIP)
  20. Large Language Models


The ebook version of the book will soon be available for purchase.


He will be having an international book tour soon, stay tuned!



Amazon Link:

https://lnkd.in/gcyYjz35

PS:

Stephen Odaibo, MD, MS(Math), MS(Comp. Sci.) is the CEO and Founder of RETINA-AI Health, Inc.



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