Fall 2018:
CS 4850
Intro Mach Learn
Lectures: Monday, Wednesday 12:30-2:15pm, Classroom South 226.
Office Hours: Monday 2:15pm-3pm, Wednesday 11:30am-12:15pm.
TA: Rohit Rohit, rrohit1@student.gsu.edu
Lecture Notes
Topic 1: Introduction to Machine Learning
Topic 2: Logistic Regression
Topic 3: Neural Networks
Topic 4: Support Vector Machines
Topic 5: Random Forests
Topic 6: Naive Bayes
Homework
Homework 1: Likelihoods and Gradients
Homework 2: Gradient Descent
Homework 3: Image Processing
Homework 4: Bacteria Dataset Preprocessing
Homework 5: Entropy
Project
Slides: Intro to Bacteria — Courtesy of Jennifer Rattray & Sam Brown
© Daniel Pimentel-Alarcón