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Coursera

Machine Learning Algorithms

Sungkyunkwan University via Coursera

Overview

Prepare for a new career with $100 off Coursera Plus
Gear up for jobs in high-demand fields: data analytics, digital marketing, and more.
In this course you will:
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.

Syllabus

  • Naïve Bayes
  • Support Vector Machine
  • Decision Tree
  • Clustering

Taught by

Jae-kwang KIM

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