This book has the following chapters.

• Chapter 1: Introduction to AI
• Chapter 2: Normalizing Data
• Chapter 3: Distance Metrics
• Chapter 4: Random Numbers
• Chapter 5: K-Means
• Chapter 6: Error Calculation
• Chapter 7: Towards Machine Learning
• Chapter 8: Optimization Algorithms
• Chapter 9: Discrete Optimization
• Chapter 10: Linear Regression

The following language ports have been completed for this book. See the individual README files inside of each chapter for language specific instructions. If you find a bug, or improve an example, please consider pushing a change via GitHub.

• c-examples
• csharp-examples
• java-examples
• python-examples
• scala-examples
• r-examples

If you find a language folder, other than those above, the language is likely "under construction". In this case, there should be more information in the language specific folder.