Description: This textbook is a great addition to any computer science or machine learning enthusiast's collection. It covers a wide range of topics including programming, algorithms, neural networks, and intelligence (AI) & semantics. The book is published by MIT Press and is part of the Adaptive Computation and Machine Learning Ser. series. The book's authors are Richard S. Sutton and Andrew G. Barto, and it has a total of 552 pages. The hardcover format is 11.2 inches long, 7.3 inches wide, and 1.5 inches high, with a weight of 42.9 ounces. The book is in English and was published in 2018. This textbook is ideal for anyone looking to expand their knowledge in the field of machine learning and AI.
Price: 39.95 USD
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End Time: 2024-10-14T05:14:20.000Z
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All returns accepted: ReturnsNotAccepted
Number of Pages: 552 Pages
Publication Name: Reinforcement Learning, Second Edition : an Introduction
Language: English
Publisher: MIT Press
Item Height: 1.5 in
Publication Year: 2018
Subject: Programming / Algorithms, Intelligence (Ai) & Semantics, Neural Networks
Type: Textbook
Item Weight: 42.9 Oz
Subject Area: Computers
Item Length: 11.2 in
Author: Richard S. Sutton, Andrew G. Barto
Item Width: 7.3 in
Series: Adaptive Computation and Machine Learning Ser.
Format: Hardcover
