- Home
- Computers
- Natural Language Processing
- Artificial Intelligence (With an Introduction to Machine Learning, Second Edition)
Artificial Intelligence (With an Introduction to Machine Learning, Second Edition)
List Price:
$189.99
- Availability: Confirm prior to ordering
- Branding: minimum 50 pieces (add’l costs below)
- Check Freight Rates (branded products only)
Branding Options (v), Availability & Lead Times
- 1-Color Imprint: $2.00 ea.
- Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
- Belly-Band Wrap: $2.50 ea. (full-color printed)
- Set-Up Charge: $45 per decoration
- Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
- Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
- Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
- RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
Product Details
Author:
Richard E. Neapolitan, Xia Jiang
Format:
Hardcover
Pages:
480
Publisher:
CRC Press (May 16, 2018)
Imprint:
Chapman and Hall/CRC
Language:
English
Audience:
Professional and scholarly
ISBN-13:
9781138502383
Weight:
37.25oz
Dimensions:
7" x 10"
File:
TAYLORFRANCIS-TayFran_261001045153970-20261001.xml
Folder:
TAYLORFRANCIS
List Price:
$189.99
Country of Origin:
United States
Pub Discount:
30
Series:
Chapman & Hall/CRC Artificial Intelligence and Robotics Series
Case Pack:
14
As low as:
$180.49
Publisher Identifier:
P-CRC
Discount Code:
H
Overview
The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update retains the same accessibility and problem-solving approach, while providing new material and methods, including neural networks and deep learning.
