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Know what to learn next

The order we'd learn each subject in.

The route: Classical Machine Learning, then Neural Networks, then Tokens and Embeddings, then Transformers, then Training and Tuning, then Inference and Serving, then Prompting, then Evaluation, then Search and Retrieval, then Agents, then Production AI.
The route: Probability, then Statistics and Regression, then Time Series, then Python for Market Data, then Markets, then Portfolio and Risk.

Every term from the lessons is in the glossary.