Essential Math for AI

□ I. THÔNG TIN SẢN PHẨM
□ Mã sản phẩm : STT1709
□ Nhà xuất bản : O'Reilly Media
□ Tác giả : Hala Nelson
□ Ngôn ngữ : Tiếng Anh
□ ISBN : 9781098107635
□ Số trang : 602 trang
□ Hình thức : Bìa Mềm, RUỘT IN ĐEN TRẮNG, BÌA IN MẪU LASER GIẤY C300 CÓ CÁN
□ Loại : Sách gia công đóng gáy keo chắc chắn chất lượng cao
□ Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và highlight thoải mái.
□ Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.

□ II. MÔ TẢ SẢN PHẨM
□ 1.Mô tả sản phẩm đầy đủ
"Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems" serves as an essential manual for navigating the complex mathematical landscape of modern artificial intelligence. In an era where companies are aggressively integrating AI into every facet of their operations, there exists a critical need for a workforce that understands the mechanics of these systems rather than treating them as "black boxes." Hala Nelson, a distinguished professor of mathematics, crafts an immersive and conversational guide that avoids the pitfalls of dry, purely academic theory, focusing instead on the practical skills needed to thrive in the AI field. The book is designed to be accessible to a diverse audience, ranging from software engineers and data scientists to researchers and students. It provides a robust foundation in the mathematical concepts that are most relevant to AI development. Readers will explore fundamental topics such as regression analysis, the inner workings of neural networks, convolution operations, and optimization strategies. The coverage extends into specialized areas including probability, graph theory, random walks, Markov processes, and differential equations, each explained through the lens of its application in AI. Nelson places a strong emphasis on real-world utility, illustrating how these mathematical principles are applied in fields such as computer vision, natural language processing, generative modeling, and reinforcement learning. To facilitate hands-on learning, the book is accompanied by supplementary Jupyter notebooks that feature Python code and visualizations. This approach allows readers to experiment with the concepts, visualize space transformations, and understand dimension reduction in a tangible way. Beyond the technical details, "Essential Math for AI" addresses the strategic and ethical dimensions of the field. It guides readers on how to select appropriate models for different data-driven projects and discusses the implications and limitations of current AI technologies. By the end of the book, readers will not only be able to speak the language of AI and mathematics fluently but also have the expertise to build, evaluate, and scale AI solutions with precision and confidence. Consequently, this work stands out as a vital bridge for those seeking to transform mathematical theory into actionable intelligence.

□ 2. Tác giả
Hala Nelson is a professor of mathematics at James Madison University and a prominent author for O'Reilly Media. Specializing in mathematical modeling, AI strategy, and digital twins, she has consulted for major institutions, including the U.S. Departments of Defense and State. Nelson's early life in war-torn Lebanon inspired her deep interest in the nature of intelligence, leading her to pursue advanced degrees from Beirut Arab University and the American University of Beirut, followed by a PhD from the Courant Institute at New York University. Her work focuses on making complex mathematical concepts accessible for real-world industrial applications and AI governance.