A Brief Introduction to Machine Learning for Engineers

ISBN-13: 9781680834727 / Angielski / Miękka / 2018 / 250 str.

Osvaldo Simeone

Spis treści

• I. Basics
• 1. Introduction
• 2. A Gentle Introduction through Linear Regression
• 3. Probabilistic Models for Learning
• II. Supervised Learning
• 4. Classification
• 5. Statistical Learning Theory
• III. Unsupervised Learning
• 6. Unsupervised Learning
• IV. Advanced Modelling and Inference
• 7. Probabilistic Graphical Models
• 8. Approximate Inference and Learning
• V. Conclusions
• 9. Concluding Remarks
• Appendices
• Acknowledgements
• References