Machine Learning Algorithms

Instructor: Jaekwang KIM

Skills you'll gain

  •   Unsupervised Learning
  •   Probability & Statistics
  •   Machine Learning
  •   Decision Tree Learning
  •   Python Programming
  •   Machine Learning Algorithms
  •   Supervised Learning
  •   Algorithms
  •   Bayesian Statistics
  •   Linear Algebra
  • There are 4 modules in this course

    a) understand the naïve Bayesian algorithm. b) understand the Support Vector Machine algorithm. c) understand the Decision Tree algorithm. d) understand the Clustering. Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.

    Support Vector Machine

    Decision Tree

    Clustering

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