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Course Materials

Important Course information

Semester Project

Requirements and Grading Rubric
CMSE 491 Final Project Template

Week 01

Week 01 In Class Assignment: Covid modeling

Week 02

Week 02: Pre-Class Assignment: Exploratory Data Analysis
Week 02: In Class Assignment: End-to-End Project

Week 03

Week 03: In Class Assignment: End-to-End Project (Part 2)

Week 04

Week 04: Pre-Class Assignment:
Linear Algebra and Machine Learning
Week 04: In Class Assignment:
Singular Value Decomposition (SVD) and Principal Component Analysis (PCA)

Week 05

Week 05: Pre-Class Assignment:
Statistics and outliers
Week 05: In-Class Assignment:
Gaussian Process Regression

Week 06

Week 06: Pre-Class Assignment:
Numerical Methods in optimization
Week 06: In-Class Assignment:
Optimizing To Build a Simple Classifier

Week 07

Week 07: Pre-Class Assignment: MNIST Classification Contest

Week 08

Week 08: Pre-Class Assignment: Regularization
Week 08: In-Class Assignment:
Neural Networks with sklearn

Week 09

Week 09: Pre-Class Assignment: ANN Playground
Week 09: In-Class Assignment:
Tensorflow and TensorBoard

Week 10

Week 10: Pre-Class Assignment: Clustering
Week 10: In-Class Assignment:
Gaussian Mixture Models

Week 11

Week 11: Pre-Class Assignment: Dimensionality Reduction
Week 11: In-Class Assignment:
Manifold Learning

Week 12

Week 12: In-Class Assignment:
Forecasting with LSTMs

Homework

Homework 1 - Project Ideas
Homework 02: Projects Pre-Proposal
Homework 03: Projects

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Important Course information

Important Course information#

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CMSE 491: Applied Machine Learning

By the Department of Computational Mathematics, Science and Engineering at Michigan State University

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