Machine Learning

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...

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

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

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

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...

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...

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...

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

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...

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