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CourseMachine Learning / AIIntermediate

Machine learning foundations, from data to deployed model

How machine learning actually works and how it's judged in interviews: problem framing, the bias-variance trade-off, the core algorithms, evaluation metrics, feature engineering, neural networks, and LLMs, RAG and putting models into production.

10 min · 4 lessons

Lessons

  1. 1Framing ML problems and the core vocabulary3 min
  2. 2The essential algorithms and when to use them2 min
  3. 3Evaluating models properly2 min
  4. 4Feature engineering, deep learning and modern AI3 min

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