Browsing by Subject "Machine learning"
Now showing items 1-7 of 7
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Artificial intelligence in the 21st century : a living introduction, Second Edition
(Mercury Learning and Information, 2016)This new edition provides a comprehensive, colorful, up to date, and accessible presentation of AI without sacrificing theoretical foundations. It includes numerous examples, applications, full color images, and human ... -
Artificial Intelligence: A Modern Approach, Fourth Edition
(Pearson, 2022)The most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence The long-anticipated revision of Artificial Intelligence: A Modern Approach explores the full breadth and depth of the ... -
The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2 ed.)
(Springer, 2009)During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge ... -
Introduction to Artificial Intelligence
(Springer, 2016)In the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computational intelligence. In Part II he explains key AI methods such as search, evolutionary computing, ... -
Machine Learning in Medicine - A Complete Overview
(Springer, 2015)The current book is the first publication of a complete overview of machine learning methodologies for the medical and health sector. It was written as a training companion, and as a must-read, not only for physicians and ... -
Mastering machine learning algorithms : expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work, Second Edition
(Packt Publishing, 2020)An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms Key Features Explore statistics and complex mathematics for data-intensive applicationsDiscover new ... -
Supervised learning from human performance at the computationally hard problemof optimal traffic signal control on a network of junctions
(2014)Optimal switching of traffic lights on a network of junctions is a computationally intractable problem. In this research, road traffic networks containing signallized junctions are simulated. A computer game interface is ...
