University of Pittsburgh
CS 2750 — Machine Learning
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Classification via Linear Methods
CS 2750 · University of Pittsburgh
Learning System Design
CS 2750 · University of Pittsburgh
Mixtures of Experts and Ensemble Methods
CS 2750 · University of Pittsburgh
Selection of Features and Reduction of Dimensionality
CS 2750 · University of Pittsburgh
Hidden Variables and Missing Values in Density Estimation
CS 2750 · University of Pittsburgh
Methods of Ensembles
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Regression Analysis (Linear)
CS 2750 · University of Pittsburgh
Machine Learning Overview
CS 2750 · University of Pittsburgh
Linear Regression Techniques
CS 2750 · University of Pittsburgh
Feature Selection and Dimensionality Reduction
CS 2750 · University of Pittsburgh
Machine Learning Syllabus
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Neural Nets with Multiple Layers
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Belief Nets
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Networks of Belief (Bayesian)
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Clustering Techniques
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Machine Systems
CS 2750 · University of Pittsburgh
Machine Learning Fundamentals
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Concepts of Machine Learning
CS 2750 · University of Pittsburgh
Regression with Linear Models
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Bayesian Belief Network Learning
CS 2750 · University of Pittsburgh
Reducing Dimensions and Selecting Features
CS 2750 · University of Pittsburgh
Machine Learning Concepts
CS 2750 · University of Pittsburgh
Machine Learning Principles
CS 2750 · University of Pittsburgh
Neural Networks (Multi-Layer)
CS 2750 · University of Pittsburgh