Graphical Models for Machine Learning and Digital Communication

Machine Learning with Spark and Python Essential Techniques for Predictive Analytics Second Edition simplifies ML for practical uses by focusing on two key algorithms. This new second edition improves

Fifteen articles on the theory and application of adaptive database search and retrieval technologies showcase current research in the growing field of machine learning algorithms. Divided into sectio

Coming the digital learning from either the technical or the educational direction, researchers suggest how computers and programs may help scholars and students investigate literary works in novel wa

Digital Darwinism is a key challenge for all companies and brands. Not all companies and managers are aware of the challenges lying ahead. This book helps to identify the need for change and adaption

This authoritative, expanded and updated second edition of Encyclopedia of Machine Learning and Data Mining provides easy access to core information for those seeking entry into any aspect within the

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for grad

Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problemsAbout This BookUnderstand the principles of Bayesian Inference with less mathematical

Edited by Parsons (founding editor-in-chief of the International Journal of Mobile and Blended Learning), this volume explores mobile learning experiences in a variety of subjects, such as medicine, h

This book introduces Raspberry Pi, using real world applications in computer vision, machine learning, and deep learning. It provides a detailed, step-by-step, approach to application development for

In recent years, the process and outlet for public speaking has grown with digital progressions such as TED talks, and Facebook Live. Purposeful Communication in a Digital Age, 2nd Edition provides a