Statistical learning with math and R 100 exercises for building logic /

Statistical learning with math and R [electronic resource] : 100 exercises for building logic / Joe Suzuki.

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
Online Access: Full Text (via Springer)
Main Author: Suzuki, Joe (Author)
Format: Electronic eBook
Language:English
Published: Singapore, Singapore : Springer, [2020]
Subjects:
Machine learning > Mathematics > Textbooks.
Logic, Symbolic and mathematical > Textbooks.
Artificial intelligence > Mathematics > Textbooks.
R (Computer program language) > Textbooks.
Artificial intelligence.
Machine learning.
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.

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