Data Mining and Machine Learning Fundamental Concepts and Algorithms
- Textbook
Description
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…
- Add bookmark
- Cite
- Share
Key features
- Covers both core methods and cutting-edge research, including deep learning
- Offers an algorithmic approach with open-source implementations
- Short, self-contained chapters with class-tested examples and exercises allow flexibility in course design and ready reference
About the book
- DOI https://doi.org/10.1017/9781108564175
- Subjects Computer Science,Data Science, Databases, Data Mining, and Information Retrieval,Machine Learning and Pattern Recognition
- Format: Hardback
- Publication date: 12 March 2020
- ISBN: 9781108473989
- Dimensions (mm): 253 x 177 mm
- Weight: 1.6kg
- Contains: 297 b/w illus.
- Page extent: 776 pages
- Availability: In stock
- Format: Digital
- Publication date: 07 February 2020
- ISBN: 9781108564175
Access options
Review the options below to login to check your access.
Personal login
Log in with your Cambridge Higher Education account to check access.
Purchase options
There are no purchase options available for this title.
If you believe you should have access to this content, please contact your institutional librarian or consult our FAQ page for further information about accessing our content.
Related content
AI generated results by Discovery for publishers [opens in a new window]
- TextbookMining of Massive Datasets
Online publication date: 16 April 2020
Hardback publication date: 13 February 2020
- BookMining of Massive Datasets
Online publication date: 05 December 2014
- BookMining of Massive Datasets
Online publication date: 05 June 2012