Jesus A. Gonzalez Web Page


CSE-6363-001 Machine Learning, Spring 2018

Syllabus

Teaching Assistant

Lectures

  1. Introduction to Machine Learning
  2. Decision Trees
  3. Rule-based Learning
  4. Association Rules
  5. Clustering
  6. Instance-based Learning
  7. Hypothesis Testing
  8. Bayesian Learning - Naive Bayes
  9. Bayesian Learning - Bayesian Networks
  10. Neural Networks
  11. Support Vector Machines
  12. Introduction to Big Data
  13. Introduction to Data Science
  14. Exploratory Data Analysis

References to other Algorithms

Project (50%) (Teams of 2 Students)

Exams (30%)

Assignments (20%)

Prepare for the Exams

  1. Midterm 1, Feb 14, 2018: Study topics ? - ?
  2. Midterm 2, May 4, 2018: Study topics ? - ?