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:
- Introducing Julia
- Basic Probability
- Probability Distributions
- Processing and Summarizing Data
- Statistical Inference Ideas
- Confidence Intervals
- Hypothesis Testing
- Linear Regression
- Machine Learning Basics
- 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.