The latest version of Sedgewick's best-selling series, reflecting an indispensable body of knowledge developed over the past several decades. Full …
This book is an excellent introduction to the process of programming. It focuses on the theories and methods used, and …
"Machine learning is currently one of the most rapidly growing areas of research in computer science. This book covers the …
Inspired by the Darwinian framework of evolution through natural selection and adaptation, the field of evolutionary computation has been growing …
An introduction to machine learning methods and their applications to problems in bioinformatics Machine learning techniques are increasingly being used …
This book constitutes the refereed proceedings of the 15th Annual Conference on Computational Learning Theory, COLT 2002, held in Sydney, …
Intended for the experienced C# programmer, this book presents a simple object-oriented interface to many of the classic combinatorial and …
The Complete Beginner’s Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will …
1991 — 90 p.На англ. языке.The game of go is an ideal problem domain for exploring machine learning: it is …
Speech and language technologies continue to grow in importance as they are used to create natural and efficient interfaces between …
A practical guide simplifying discrete math for curious minds and demonstrating its application in solving problems related to software development, …
the official solution manual for https://mml-book.com from https://www.cambridge.org/us/academic/subjects/computer-science/pattern-recognition-and-machine-learning/mathematics-machine-learning#resources the manual contains solutions for all exercises in the book; note that …
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability …
Advance your understanding of generic data structures and algorithms and their applications using Go and the effective use of concurrency. …
"Problem Solving in Data Structures & Algorithms" is a series of books about the usage of Data Structures and Algorithms …
This book is about the usage of Data Structures and Algorithms in computer programming. Designing an efficient algorithm to solve …
Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice …
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who …
A comprehensive guide to the essential principles of image processing and pattern recognition Techniques and applications in the areas of …
A comprehensive guide to the essential principles of image processing and pattern recognitionTechniques and applications in the areas of image …
Image Processing and Pattern Recognition covers major applications in the field, including optical character recognition, speech classification, medical imaging, paper …
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models …
This book delivers a course module for advanced undergraduates, postgraduates and researchers of electronics, computing science, medical imaging, or wherever …
During the past two decades there has been a considerable growth in interest in problems of pattern recognition and image …
Fundamentals algorithms for SIMD and MIMD hypercubes are developed. These include algorithms for such problems as data broadcasting, data sum, …
Parts of this text were used for several years by students in a one~term under graduate course in computer science. …
Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition discusses the latest in trends in imaging science which at …
Learn the essentials of computer science Schaum’s Outline of Principles of Computer Science provides a concise overview of the theoretical …
From little more than a circuit-theoretical concept in 1965, computer-aided circuit simulation developed into an essential and routinely used design …
Fierce competition in today's global market provides a powerful motivation for developing ever more sophisticated logistics systems. This book, written …
Addressing the current deficiency in the literature on statistical methods as they apply to the social and behavioral sciences, Numerical …
This book provides the most complete description, analysis, and comparative studies of modern standardized and most common stream symmetric encryption …
