Further Details

Title: Machine Learning
Condition: New
Format: Hardback
Type: Hardback
Release Date: 01/01/1955
Subtitle: An Artificial Intelligence Approach (Volume I)
EAN: 9780934613095
ISBN: 9780934613095
Publisher: Morgan Kaufmann Publishers In
Language: English
Country/Region of Manufacture: US
Item Height: 229mm
Item Length: 152mm
Item Weight: 950g
Author: Ryszard S. Michalski, Jaime G. Carbonell, Tom M. Mitchell
Genre: Computing & Internet
Release Year: 1955
Description: 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.

Missing Information?

Please contact us if any details are missing and where possible we will add the information to our listing.