Description: This book is a valuable resource for those interested in the field of machine learning. It provides a comprehensive introduction to the topic and is written in a clear and concise language that is easy to understand. The book covers various aspects of machine learning, including its history, applications, and future directions. It also includes real-world examples and case studies that illustrate the practical applications of machine learning. The book has 640 pages and is organized into 17 chapters, each of which covers a different aspect of machine learning. It is a hardcover textbook published by MIT Press and is part of the Adaptive Computation and Machine Learning Series. The book measures 8.9 inches in length, 8.2 inches in width, and 1.1 inches in height. It weighs 42.2 ounces and is written in English. The author of the book is Ethem Alpaydin.
Price: 42.99 USD
Location: Hudson, Wisconsin
End Time: 2025-02-10T21:17:30.000Z
Shipping Cost: 5.38 USD
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All returns accepted: ReturnsNotAccepted
Number of Pages: 640 Pages
Language: English
Publication Name: Introduction to Machine Learning
Publisher: MIT Press
Subject: Intelligence (Ai) & Semantics
Item Height: 1.1 in
Publication Year: 2014
Item Weight: 42.2 Oz
Type: Textbook
Author: Ethem Alpaydin
Item Length: 8.9 in
Subject Area: Computers
Series: Adaptive Computation and Machine Learning Ser.
Item Width: 8.2 in
Format: Hardcover
