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 processing, generative models, reinforcement learning, operations research, and automated systems. With a broad audience in mind, including engineers, data scientists, mathematicians, scientists, and people early in their careers, the book helps build a solid foundation for success in the AI and math fields. You'll be able to: Comfortably speak the languages of AI, machine learning, data science, and mathematics Unify machine learning models and natural language models under one mathematical structure Handle graph and network data with ease Explore real data, visualize space transformations, reduce dimensions, and process images Decide on which models to use for different data-driven projects Explore the various implications and limitations of AI Review Technology and AI markets are like a river, where some parts are moving faster than others. Successfully applying AI requires the skill of assessing the direction of the flow and complementing it with a strong foundation, which this book enables, in an engaging, delightful, and inclusive way. Hala has made math fun for a spectrum of participants in the AI-enabled future! —Adri Purkayastha, Group Head, AI Operational Risk and Digital Risk Analytics, BNP Paribas Texts on artificial intelligence are usually either technical manuscripts written by experts for other experts, or cursory, math-free introductions catered to general audiences. This book takes a refreshing third path by introducing the mathematical foundations for readers in business, data, and similar fields without advanced mathematics degrees. The author weaves elegant equations and pithy observations throughout, all the while asking the reader to consider the very serious implications artificial intelligence has on society. I recommend Essential Math for AI to anyone looking for a rigorous treatment of AI fundamentals viewed through a practical lens. —George Mount, Data Analyst and Educator Hala has done a great job in explaining crucial mathematical concepts. This is a must-read for every serious machine learning practitioner. You'd love the field more once you go through the book. —Umang Sharma, Senior Data Scientist and Author To understand artificial intelligence, one needs to understand the relationship between math and AI. Dr. Nelson made this easy by giving us the foundation on which the symbiotic relationship between the two disciplines is built. —Huan Nguyen, Rear Admiral (Ret.), Cyber Engineering, NAVSEA This manuscript aims at explaining the mathematics behind current state-of-the-art practices in machine learning (ML) / artificial intelligence (AI). It also serves as an introductory exposition to AI/ML, surveying quite broadly the methodology as well as the applications. It is intended for readers with limited to no knowledge in AI/ML and with basic familiarity with mathematics. The strategy taken in this book and, in my opinion, its distinguishing feature, is that of immediate immersion in both the AI/ML and the mathematics behind it. Terms are explained and background is provided on-the-go and just when they are needed,EAN: 9781098107635Package Dimensions: 9.1 x 7.1 x 1.3 inchesLanguages: English