FM

ECE 4252/6252 - Fundamentals of Machine Learning (FunML)

Georgia Institute of Technology - Course Materials

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Lectures

27 sessions

Introduction to Machine Learning

Logistic Regression

Support Vector Machines

Introduction to Neural Networks

Classification Performance Evaluation

Linear Regression

Polynomial Regression

Regularization and Performance Metrics

K-Means Clustering

GMMs and Performance Evaluation

Convolutional Neural Networks

CNN Architectures

Convolutional Neural Networks: Training

Autoencoder Extensions

Sequence Modeling

Sequence Modeling II

Explainability in Neural Networks

Explainability Paradigms and Evaluation

Data and Label Efficient Learning I: Self-supervised Learning

Data and Label Efficient Learning II – Active Learning

Uncertainty Quantification in Neural Networks

Anomaly Detection

FunML: Fundamentals of Machine Learning

Video

Handouts