Daniel Pimentel-Alarcón
papers & code
talks
teaching
students
research
hobbies
Fall 2020:
CS 760
Machine Learning
Spring 2020:
BMI/CS 567
Med Im An
Spring 2019:
CS 6780
Fund Data Sci
Fall 2018:
CS 4850
Intro Mach Learn
Spring 2018:
CS 6980
Intro Data Sci
Fall 2017:
CS 8850
ML Theory
Lectures:
Tuesday, Thursday 10:00-11:45am, Classroom South 328.
Office Hours:
Tuesday 1:00-2:00pm or by appointment.
TA:
Usman Mahmood, umahmood1@student.gsu.edu, 25 Park Place 690.
TA's OH:
Wednesday 2:30-3:30pm, Friday 12:15-1:15pm.
Syllabus
   
Lecture Notes
Topic 1: Introduction
Topic 2: Data Visualization
Topic 3: Probability Review
Topic 4: Linear Algebra Review
Topic 5: Optimization
Topic 6: Linear Regression
Topic 7: Nearest Neighbors
Topic 8: K-Means Clustering
Topic 9: Logistic Regression
Topic 10: Random Forests
Homework
Homework 1: Data Visualization
titanic_data.csv
Homework 2: Data Simulation
Homework 3: Probability Review
Homework 4: Linear Algebra Review
Homework 5: Optimization & Linear Algebra
Homework 6: K-Means Clustering
breast_data.csv
breast_truth.csv
mu_init.csv
Project
Slides: Intro to Bacteria — Courtesy of Jennifer Rattray & Sam Brown
Report_Template.tex
   
Figure_Example.pdf
   
© Daniel Pimentel-Alarcón