Knowledge / Course

CS 7641 Machine Learning

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Georgia Tech OMSCS CS 7641

Survey of supervised, unsupervised, and reinforcement learning with analysis-heavy reports.

Practice in the Flight Lab: Bias or variance · Move the centers · Solve the backup

Prerequisites

Probability, statistics, linear algebra, Python.

Subareas

Decision trees, kNN, SVMs, boosting, neural netsRandomized optimization (RHC, SA, GA, MIMIC)Clustering (k-means, EM)Dimensionality reduction (PCA, ICA, random projection)MDPs: value/policy iteration, Q-learningBias/variance & model evaluation

Main topics / syllabus areas

  • Decision trees, kNN, SVMs, boosting, neural nets
  • Randomized optimization (RHC, SA, GA, MIMIC)
  • Clustering (k-means, EM)
  • Dimensionality reduction (PCA, ICA, random projection)
  • MDPs: value/policy iteration, Q-learning
  • Bias/variance & model evaluation

Resources

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