Artificial Intelligence

The primary goal of this book is to provide students and practitioners in the field of image analysis with cohesive information and innovative (nov...

In nonparametric and high-dimensional statistical models, the classical GaussFisherLe Cam theory of the optimality of maximum likelihood estimators...

The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineer...

This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung a...

Agriculture is one of the most fundamental human activities. It has kept humans happier and healthier and helped birth modern society as we know it...

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor fr...

This is a comprehensive book on the theories of artificial intelligence with an emphasis on their applications. It combines fuzzy logic and neural ...

The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods,...

In this book, the authors present topical research in the study of the architectures and modelling in neurocomputing. Topics discussed include a br...

Thermodynamic analysis of the refrigeration system is very complex because of the thermodynamic properties equations of working fluids, involving t...

Now that storage and collection technologies are cheaper and more precise, methods for extracting relevant information from large datasets is withi...

An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech re...

Phase transitions typically occur in combinatorial computational problems and have important consequences, especially with the current spread of st...

Reflects current research in natural language processing, data mining, networks and network security, robotics, image processing and bioinformatics...

Building on , this volume on Optimization and Decision Making covers a range of algorithms and their applications. Like the first volume, it provid...

Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; in...

An authority on creativity introduces us to AI-powered computers that are creating art, literature, and music that may well surpass the creations o...

Written by leading researchers, this complete introduction brings together all the theory and tools needed for building robust machine learning in ...

Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This textbook brings together machine learning, ...

A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right. In...

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that's paving the way f...

The past decade has witnessed extraordinary advances in artificial intelligence. But what precisely is it and where does its future lie?In this bri...

'Absorbing, mind-enlarging, studded with insights ... This could have significant real-world results' Sunday TimesHumanity's greatest feat is our i...

Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, it...

The present book is primarily intended for undergraduate and postgraduate students of computer science and engineering, information technology, and...

For someone interested in practical present day robotics it''s a treasure trove. A book-sized Top Trumps rove across the technical domain, with eac...

Within the rapidly-growing arena of 'virtual worlds', such as Massively Multiplayer Online Games (MMOs), individuals behave in particular ways, inf...

How do infants learn a language? Why and how do languages evolve? How do we understand a sentence? This book explores these questions using recent ...

This text presents the formal concepts underlying Computer Science.It starts with a wide introduction to Logic with an emphasis on reasoning and pr...

As a broad subfield of artificial intelligence, machine learning is concerned with the design and development of algorithms and techniques that all...