Essential Math for AI

Hala Nelson

ISBN 10: 1098107632 / ISBN 13: 9781098107635

Editore: O'Reilly Media, 2023

New Book. Shipped from UK. Established seller since 2000. Codice articolo WO-9781098107635

Riassunto:

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.

• 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

Dati bibliografici

Titolo: Essential Math for AI
Casa editrice: O'Reilly Media
Data di pubblicazione: 2023
Legatura: PAP
Condizione: New