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Massachusetts Institute of Technology

Machine Learning with Python: from Linear Models to Deep Learning

Massachusetts Institute of Technology via MITx Online

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An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. -- Part of the MITx MicroMasters program in Statistics and Data Science.

Syllabus

  • Understand principles behind machine learning problems such as classification, regression, clustering, and reinforcement learning
  • Implement and analyze models such as linear models, kernel machines, neural networks, and graphical models
  • Choose suitable models for different applications
  • Implement and organize machine learning projects, from training, validation, parameter tuning, to feature engineering.

Taught by

Tommi Jaakkola, Karene Chu, and Regina Barzilay

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