BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Data Mining and Machine Learning: Fundamental Concepts and Algorithms

Data Mining and Machine Learning: Fundamental Concepts and Algorithms

Data Mining and Machine Learning: Fundamental Concepts and Algorithms
Stock photo: cover may vary

Data Mining and Machine Learning: Fundamental Concepts and Algorithms Hardback - 2020

by Zaki, Mohammed J

Add to wish list
  • Used
  • Good
  • Hardback
Used - Good

Description

hardcover. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
Ask the seller a question Add to wish list
A$111.84
Free Delivery within USA
Standard delivery: 7 to 14 days
More delivery options
Dropship order
Ships from Bonita (California, United States)
The BIBLIO Guarantee

Details

  • Title Data Mining and Machine Learning: Fundamental Concepts and Algorithms
  • Author Zaki, Mohammed J
  • Binding Hardback
  • Condition Used - Good
  • Pages 776
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 2020-01-30
  • Features Bibliography, Index
  • Bookseller's Inventory # 1108473989.G
  • ISBN 9781108473989 / 1108473989
  • Weight 3.45 lbs (1.56 kg)
  • Dimensions 9.9 x 6.8 x 1.8 in (25.15 x 17.27 x 4.57 cm)
  • Category Computers - Data Base Management
  • Library of Congress subjects Data mining
  • Library of Congress Catalogue Number 2019037293
  • Dewey Decimal Code 006.312
  • Quantity available 1

About Bonita California, United States

Biblio member since 2020

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Bonita

Reader reviews for Data Mining and Machine Learning: Fundamental Concepts and Algorithms

Write a review for this book

There are no reviews for this book yet. Be the first to write a review!

Your review will be anonymous unless you login or create an account first.

Overall rating
Remember: You’re rating the book as a work, not the seller or the condition of the specific copy you purchased!

Important Terms and Guidelines

  • Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
  • Reviews must be at least 140 characters in length.
  • Please do not reveal critical plot elements.
  • This is not a help line. Contact customer support if you need help.
Your review must not include:
  • Obscenities, discriminatory language, or other insulting language not suitable for public domain
  • Advertisements, “spam” content, or references to other products, offers or websites.
  • Email addresses, URLs, phone numbers, physical addresses or other contact information.
  • Overly critical comments about other reviews or reviewers
  • Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
  • Availability, price, or alternative ordering/shipping information

From the publisher

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.

Please wait a moment while we load the requested page.

tracking-