Essential Math for AI
Author | : Hala Nelson |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 605 |
Release | : 2023-01-04 |
ISBN-10 | : 9781098107604 |
ISBN-13 | : 1098107608 |
Rating | : 4/5 (608 Downloads) |
Download or read book Essential Math for AI written by Hala Nelson and published by "O'Reilly Media, Inc.". This book was released on 2023-01-04 with total page 605 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many sectors and industries are eager to integrate AI and data-driven technologies into their systems and operations. But to build truly successful AI systems, you need a firm grasp of the underlying mathematics. This comprehensive guide bridges the current gap in presentation between the unlimited potential and applications of AI and its relevant mathematical foundations. Rather than discussing dense academic theory, author Hala Nelson surveys the mathematics necessary to thrive in the AI field, focusing on real-world applications and state-of-the-art models. You'll explore topics such as regression, neural networks, convolution, optimization, probability, Markov processes, differential equations, and more within an exclusive AI context. Engineers, data scientists, mathematicians, and scientists will gain a solid foundation for success in the AI and math fields.