Machine Learning PDF
By:Ryszard S. Michalski,Jaime G. Carbonell,Tom M. Mitchell
Published on 2014-06-28 by Elsevier
Machine Learning: An Artificial Intelligence Approach contains tutorial overviews and research papers representative of trends in the area of machine learning as viewed from an artificial intelligence perspective. The book is organized into six parts. Part I provides an overview of machine learning and explains why machines should learn. Part II covers important issues affecting the design of learning programs—particularly programs that learn from examples. It also describes inductive learning systems. Part III deals with learning by analogy, by experimentation, and from experience. Parts IV and V discuss learning from observation and discovery, and learning from instruction, respectively. Part VI presents two studies on applied learning systems—one on the recovery of valuable information via inductive inference; the other on inducing models of simple algebraic skills from observed student performance in the context of the Leeds Modeling System (LMS). This book is intended for researchers in artificial intelligence, computer science, and cognitive psychology; students in artificial intelligence and related disciplines; and a diverse range of readers, including computer scientists, robotics experts, knowledge engineers, educators, philosophers, data analysts, psychologists, and electronic engineers.
This Book was ranked at 22 by Google Books for keyword medical computer application assisted coding.
Book ID of Machine Learning's Books is Aw2jBQAAQBAJ, Book which was written byRyszard S. Michalski,Jaime G. Carbonell,Tom M. Mitchellhave ETAG "mW/x9qkBpOg"
Book which was published by Elsevier since 2014-06-28 have ISBNs, ISBN 13 Code is 9780080510545 and ISBN 10 Code is 008051054X
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Book which have "572 Pages" is Printed at BOOK under CategoryComputers
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