FM

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

Georgia Institute of Technology - Textbook and Course Materials

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Lectures

31 sessions

Introduction to Machine Learning

Classification

Logistic Regression

Support Vector Machines

Neural Networks

Performance Metrics

Regression

Linear Regression

Polynomial Regression

Performance Metrics

Clustering

Proximity Measures

Performance Metrics

Convolutional Neural Networks

Introduction to CNNs

Autoencoders

Convolutional Autoencoders

Regularized and Variational Autoencoders

Sequence Modeling

Encoder-Decoder Architectures

Trustworthy ML

Visual Explainability

Explanatory Paradigms

Uncertainty Quantification

Anomaly Detection

Data and Label Efficient Learning

Self-supervised Learning

Active Learning

Large-scale Learning

Large Language Models

Vision-Language Models

FunML: Fundamentals of Machine Learning

Video