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Statistical Learning with Math and R : 100 Exercises for Building Logic /

The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of machine learning and data science by considering math problems and building R programs. As the preliminary par...

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Bibliographic Details
Main Author: Suzuki, Joe (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Subjects:
Artificial intelligence.
Machine learning.
Artificial Intelligence.
Machine Learning.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Chapter 1: Linear Algebra
  • Chapter 2: Linear Regression
  • Chapter 3: Classification
  • Chapter 4: Resampling
  • Chapter 5: Information Criteria
  • Chapter 6: Regularization
  • Chapter 7: Nonlinear Regression
  • Chapter 8: Decision Trees
  • Chapter 9: Support Vector Machine
  • Chapter 10: Unsupervised Learning.