CSCI 447
Machine Learning
Spring 2019

Montana Technological University
Computer Science & Software Engineering

Schedule  |  Assignments  |  Course Syllabus  |  Moodle (447)  |  Moodle (547)

SCHEDULE

This page lists the anticipated dates of all the lectures with links to slides, web references and examples from the lecture (if any). Since this course is being offered for the first time, the dates are tentative, and topics may be changed around as we progress.

#DateTopicSubtopicSlidesReading Examples
1 Mon. 1/7 Introduction Course Overview
2 Wed. 1/9 Machine Learning Process PDF
3 Fri. 1/11 Dimensions of Machine Learning PDF
4 Mon. 1/14 Review Probability PDF
5 Wed. 1/16 Linear Algebra PDF Reference
6 Fri. 1/18 Python Coding / AWS PDF Grad Admissions Dataset
- Mon. 1/21 NO CLASS - Martin Luther King Day
7 Wed. 1/23 Data Analysis 80% Rule PDF xkcd Survey Data
Candy Survey
2015 Results
2016 Results
2017 Results
2015 Data
2016 Data
2017 Data
8 Fri. 1/25 Statistical Methods Well that was a waste of an hour...
9 Mon. 1/28 Linear Regression PDF
10 Wed. 1/30 Logistic Regression PDF
11 Fri. 2/1 Wrapping up Regression PDF
12 Mon. 2/4 Clustering PDF
- Wed. 2/6 Nearest Neighbor and Review for Exam 1 PDF
Exam Outline
- Fri. 2/8 Exam 1
13 Mon. 2/11 Neural Networks Basis: Perceptron PDF
14 Wed. 2/13 Multi-Layer Networks PDF
15 Fri. 2/15 Deep Networks PDF Deep Dive into Math Behind Deep Networks Deep Learning Online Text
- Mon. 2/18 NO CLASS - Presidents Day
16 Wed. 2/20 Convolutional Networks PDF CIFAR-10 Demo
17 Fri. 2/22 Recurrent Networks PDF Toward Data Science
18 Mon. 2/25 Support Vector Machines PDF SVM Video
19 Wed. 2/27   Network Considerations PDF
20 Fri. 3/1 Bayesian Networks Overview
21 Mon. 3/4 Inference PDF
22 Wed. 3/6 Independence
23 Fri. 3/8
24 Mon. 3/11 Learning Probabilities PDF
- Wed. 3/13 Review for Exam2 Exam Outline
- Fri. 3/15 Exam 2
- Mon. 3/18 NO CLASS - Spring Break
- Wed. 3/20 NO CLASS - Spring Break
- Fri. 3/22 NO CLASS - Spring Break
25 Mon. 3/25 Bayesian Networks Learning Structure
26 Wed. 3/27 Genetic Algorithms Overview PDF
27 Fri. 3/29 Overview 2D Car Learning to Walk
28 Mon. 4/1   Representation and Objective Function
29 Wed. 4/3 Other Algorithms Decision Trees PDF
30 Fri. 4/5   Random Forests PDF Criminisi et al
31 Mon. 4/8 Ensemble Learning Algorithm Comparison The Matrix
32 Wed. 4/10   Algorithms Selection
33 Fri. 4/12 Boosting PDF
34 Mon. 4/15 Measuring Performance Performance Metrics
35 Wed. 4/17 Ethics WMD TED Talk Google Talk
- Fri. 4/19 NO CLASS - Mini-Spring Break
36 Mon. 4/22 Ethics Toxic Models / WMDs
37 Wed. 4/24 Measuring Performance Performance Metrics PDF
- Fri. 4/26 Reiew for Final Exam
- Fri. 5/3, 8:00-10:00 Final Exam Exam Outline

Page last updated: April 30, 2019