Statistical Learning with Math and Python: 100 Exercises for Building Logic

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.

Author: Joe Suzuki
Publisher: Springer
Published: 08/04/2021
Pages: 256
Binding Type: Paperback
Weight: 0.85lbs
Size: 9.21h x 6.14w x 0.57d
ISBN13: 9789811578762
ISBN10: 9811578761
BISAC Categories:
- Computers | Artificial Intelligence | General
- Computers | Mathematical & Statistical Software
- Technology & Engineering | Engineering (General)

About the Author
Joe Suzuki is a professor of statistics at Osaka University, Japan. He has published more than 100 papers on graphical models and information theory.

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