Books

Machine Learning for the Physical Sciences

Machine Learning for the Physical Sciences

Fundamentals and Prototyping with Julia

1st ed. (2023) · CRC Press, Boca Raton, FL

ISBN: 978-1032392295

Classical machine learning using a language accessible to physicists.

Code Repository
Table of Contents
  1. Multivariate Calculus
  2. Probability Theory
  3. Dimensionality Reduction
  4. Clustering Analysis
  5. Vector Quantization Techniques
  6. Regression Models
  7. Classification
  8. Feedforward Networks
  9. Advanced Network Architectures
  10. Value Methods
  11. Gradient Methods
  12. Evolutionary Computing
  13. Heuristic Optimization
Introduction to Econophysics

Introduction to Econophysics

Contemporary Approaches with Python Simulations

1st ed. (2021) · CRC Press, Boca Raton, FL

ISBN: 978-0367648459

A mathematical description of stochastic physics applied to problems in economics.

Code Repository
Table of Contents
  1. Review of Economics
  2. Asset Return Statistics
  3. Stochastic Calculus
  4. Options Pricing
  5. Portfolio Theory
  6. Criticaly
  7. Games and Competitions
  8. Agent-Based Simulations