The GitHub repository will contain the code fhr the Jeff Heaton 's new KickStarter backed book series 'Artificial Intelligence For Humans' series.
See the kickstart project information here
The +vol1+ directory contains the files (in progress) of the first book in the series.
Contributions are cordially welcomed, especially language translations of the examples. Please use the GitHub pull-request mechanism to submit contributions.
- 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
This code is licensed under the Apache 2 License