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 two 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 and Beyond
9. Simulation of Dynamic Models
10. A View Forward

Appendix A. How-to in Julia
Appendix B. Insights into lesser known concepts

We hope you find this an enjoyable and instructive resource.

H.Klok
Y.Nazarathy