Gödel, Escher, Bach (PDF) is a Pulitzer Prize-winning book written by Douglas Hofstadter, first published in 1979. The book explores the nature of intelligence and creativity, focusing on the relationships between mathematics,...
Speech and Language Processing (PDF) 2nd Edition kind to completely cover language technology – at all levels And with all modern technologies. This book takes an empirical approach to the subject, based...
Whether you are a beginner or an advanced learner, reading these best books on artificial intelligence can be a great way to gain a deeper understanding of the field. There are numerous...
Deep Learning (PDF) offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners...
Learning OpenCV 3 (PDF) puts you in the middle of the expanding field of computer vision. Written by the creators of the free open source OpenCV library, this Computer Vision in C++...
Mathematics is a crucial foundation for understanding artificial intelligence, as it underpins many of the concepts and techniques used in the field. Some recommended books on mathematics for AI include “Linear Algebra...
Elements of Information Theory (PDF) 2nd Edition of this fundamental textbook maintains the book’s tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics,...
Convex Optimization (PDF) provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex...
Statistical Inference (PDF) 2nd Edition builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and...
Linear Algebra and Its Applications (PDF) 5th Edition written by experts in mathematics, this introduction to linear algebra covers a range of topics. These subjects include matrix algebra, vector spaces, eigenvalues and...
