epigraph – Linear Regression with Gradient Descent: Mathematical Foundations of AI

1 Epigraph

Linear Regression with Gradient Descent: Mathematical Foundations of AI

Preface
1 Epigraph
2 Solar Panels and Ice Creams
Representing Linear Regression
- 3 Representing Data as Points in Space
- 4 Functions
Measuring Regression Quality
Derivatives and Gradient Descent
Multiple Parameters
Multiple Linear Regression
Using Linear Regression in the Real World
- 21 Estimating Linear Regression Performance
- 22 Interpreting Linear Regression Coefficients
Classification with Logistic Regression
- 23 The Classification Problem
- 24 The Logistic Regression Formula
Evaluating Classification Models
- 25 Evaluating Classification Models
- 26 Calibrating Classification Models
Fitting a Logistic Regression
- 27 Fitting a Logistic Regression
Conclusion
- 28 Conclusion
- 29 Acknowledgements
Appendix
- 30 Appendix: Deriving the Cross-Entropy Gradient
References

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2 Solar Panels and Ice Creams