Practical TypeScript Artificial Intelligence Programming

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Practical TypeScript Artificial Intelligence Programming28 chapters

Begin
  1. Cover Material, Copyright, and License

  2. Preface

  3. Setting Up a TypeScript Development Environment

  4. A TypeScript Tutorial for Command-Line AI Programs

  5. Part 1 - Machine Learning

  6. “Classic” Machine Learning

  7. Regression and Clustering

  8. Exploratory Data Analysis and Feature Engineering

  9. Anomaly Detection

  10. Part 2 - Deep Learning

  11. The Basics of Deep Learning

  12. Natural Language Processing Using Deep Learning

  13. Part IV - Overviews of Image Generation, Reinforcement Learning, and Recommendation Systems

  14. Overview of Image Generation

  15. Overview of Reinforcement Learning (Optional Material)

  16. Overview of Recommendation Systems (Optional Material)

  17. Part 3 - Large Language Models

  18. Introduction to Transformers and Large Language Models

  19. LLMs with Public APIs

  20. LLMs with Local Models

  21. An AI Command-Line Tool with Search Grounding and Persistent Cache

  22. Part 4 - Symbolic AI and Knowledge Representation

  23. Classic Graph Search

  24. Chess Game with Alpha-Beta Search

  25. Part 5 - Knowledge Representation

  26. Getting Setup To Use Graph and Relational Databases

  27. Optional Material: A Deeper Dive Into Semantic Web and Linked Data

  28. Open Knowledge Format (OKF) Bundle Explorer