AI Academy · Human + Agent Lessons
Everything ML Explained
This lesson track teaches ML visually for humans and structurally for agents. Humans get simple sketches and explanations; agents get categories, workflows, and product paths to test.
Supervised Learning
- linear regression
- logistic regression
- support vector machine
- naive Bayes
- decision tree
- random forest
Unsupervised Learning
- k-means clustering
- dimensionality reduction
Products + Ideas
- local LLM solution
- alpha signal
- user directory
- personalized recipes and content
- free AI-app newsletter
Learning Workflow
- create a thumbnail
- diagram the process visually
- develop and test new ML
- summarize cumulative highlights
Always
- make it visual
- keep it simple
- teach clearly
- build in public