logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Data Mining And Machine Learning Fundamental Concepts And Algorithms 2nd Edition Mohammed J Zaki

  • SKU: BELL-34507750
Data Mining And Machine Learning Fundamental Concepts And Algorithms 2nd Edition Mohammed J Zaki
$ 31.00 $ 45.00 (-31%)

4.4

82 reviews

Data Mining And Machine Learning Fundamental Concepts And Algorithms 2nd Edition Mohammed J Zaki instant download after payment.

Publisher: Cambridge University Press
File Extension: PDF
File size: 25.51 MB
Pages: 776
Author: Mohammed J. Zaki, Wagner Meira Jr
ISBN: 9781108473989, 1108473989
Language: English
Year: 2020
Edition: 2

Product desciption

Data Mining And Machine Learning Fundamental Concepts And Algorithms 2nd Edition Mohammed J Zaki by Mohammed J. Zaki, Wagner Meira Jr 9781108473989, 1108473989 instant download after payment.

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.

Related Products