Learn how to build your own artificial intelligence applications from scratch.
Overview
Syllabus
Introduction
- Build your own AI from scratch
- What you should know
- What is a language model?
- Markov chains and Python
- Building your model
- Solution: Markov chains
- Extra credit: Song lyrics
- What is sentiment analysis?
- Building a naive Bayes classifier
- Solution: Comment filter
- What are embeddings?
- Measuring distance
- Solution: Semantic similarity
- Next steps
Taught by
Ronnie Sheer