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Level I · Module 9

Machine Learning Foundations

Learn what machine learning is, its short history, how models are trained, the main model families, overfitting, and how to evaluate a financial classifier honestly.

This module is locked

Available with Level I enrollment or the complete three-level program.

Explore the module outline below, or start with the free orientation and Module 1.

Read the free orientation and Module 1

Module outline

  • Models, loss and gradient descent
  • Linear models, trees, ensembles and neural networks
  • Overfitting, validation and precision versus recall

Intended learning outcome: Explain why a model with low training error can still predict badly on new data.