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Introduction to Algorithms for Data Mining and Machine Learning - by Xin-She Yang (Paperback)
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About this item
Highlights
- Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques.
- Author(s): Xin-She Yang
- 188 Pages
- Mathematics, Applied
Description
Book Synopsis
Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills so they can process and interpret data for classification, clustering, curve-fitting and predictions. Masterfully balancing theory and practice, it is especially useful for those who need relevant, well explained, but not rigorous (proofs based) background theory and clear guidelines for working with big data.
- Presents an informal, theorem-free approach with concise, compact coverage of all fundamental topics
- Includes worked examples that help users increase confidence in their understanding of key algorithms, thus encouraging self-study
- Provides algorithms and techniques that can be implemented in any programming language, with each chapter including notes about relevant software packages
Dimensions (Overall): 9.0 Inches (H) x 6.0 Inches (W) x .4 Inches (D)
Weight: .57 Pounds
Suggested Age: 22 Years and Up
Sub-Genre: Applied
Genre: Mathematics
Number of Pages: 188
Publisher: Academic Press
Format: Paperback
Author: Xin-She Yang
Language: English
Street Date: August 1, 2019
TCIN: 1002559185
UPC: 9780128172162
Item Number (DPCI): 247-09-5769
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 0.4 inches length x 6 inches width x 9 inches height
Estimated ship weight: 0.57 pounds
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