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Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence

This repository is a collection of all code blocks contained within our book. A preliminary draft version of the book is available here: Statistics with Julia (draft).

The book is comprised of the following ten chapters and three appendices:

  1. Introducing Julia
  2. Basic Probability
  3. Probability Distributions
  4. Processing and Summarizing Data
  5. Statistical Inference Ideas
  6. Confidence Intervals
  7. Hypothesis Testing
  8. Linear Regression
  9. Machine Learning Basics
  10. Simulation of Dynamic Models

Appendix A. How-to in Julia Appendix B. Additional Language Features Appendix C. Additional Packages

We hope you find this an enjoyable and instructive resource.

H.Klok Y.Nazarathy

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