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Introduction to algorithms for data mining and machine learning /

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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 re...

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Bibliographic Details
Main Author: Yang, Xin-She (Author)
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: London, United Kingdom ; San Diego, CA, United States : Academic Press, an imprint of Elsevier, [2019]
Subjects:
Data mining > Mathematics.
Machine learning > Mathematics.
Exploration de données (Informatique) > Mathématiques.
Apprentissage automatique > Mathématiques.
COMPUTERS > General.
Data mining
Machine learning
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Introduction to optimization
  • Mathematical foundations
  • Optimization algorithms
  • Data fitting and regression
  • Logistic regression, PCA, LDA, and ICA
  • Data mining techniques
  • Support vector machine and regression
  • Neural networks and deep learning.