Название: Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems (Sixth Early Release)
Автор: Hala Nelson
Издательство: O’Reilly Media, Inc.
Год: 2022-11-09
Страниц: 609
Язык: английский
Формат: epub (true), mobi
Размер: 18.4 MB

Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory.

Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter notebooks shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field.

AI is built on mathematical models. We need to know how. I wrote this book in purely colloquial language, leaving most of the technical details out. It is a math book about AI, however, with very few mathematical formulas and equations, no theorems, no proofs, and no coding. My goal is not to keep this important knowledge in the hands of very few elite, and to attract more people to technical fields. I believe that many people get turned off by math before they ever get a chance to know that they might love it and be naturally good at it.

Understand the underlying mathematics powering AI systems, including generative adversarial networks, random graphs, large random matrices, mathematical logic, optimal control, and more
Learn how to adapt mathematical methods to different applications from completely different fields
Gain the mathematical fluency to interpret and explain how AI systems arrive at their decisions