Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems

Author: Nelson, HalaEdition: 1Binding: PaperbackNumber Of Pages: 602Release Date: 14-02-2023Details: Product Description All the math we need to get into AI. Math and AI made easy... Many 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 gap in presentation between the potential and applications of AI and its relevant mathematical foundations. In an immersive and conversational style, the book surveys the mathematics necessary to thrive in the AI field, focusing on real-world applications and state-of-the-art models, rather than on dense academic theory. You'll explore topics such as regression, neural networks, convolution, optimization, probability, graphs, random walks, Markov processes, differential equations, and more within an exclusive AI context geared toward computer vision, natural language proc