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One Concept, One Example

Machine Learning Toolkit

Focused introductions to machine-learning ideas through one clear scientific or mathematical example.

Thumbnail for Machine Learning With Limited Data: Entropy-Constrained Learning

18: Machine Learning With Limited Data: Entropy-Constrained Learning

Information theoryMachine learning

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Thumbnail for Machine Learning With Limited Data: Transfer Learning

17: Machine Learning With Limited Data: Transfer Learning

Transfer learningMachine learning

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Thumbnail for Neural Networks: The Role of Nonlinear Activation Functions

16: Neural Networks: The Role of Nonlinear Activation Functions

Neural networksMachine learning

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Thumbnail for Neural Networks: The Role of Weights and Biases

15: Neural Networks: The Role of Weights and Biases

Neural networksMachine learning

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Thumbnail for Neural Networks: Training a Neural Network

14: Neural Networks: Training a Neural Network

Neural networksMachine learning

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Thumbnail for Neural Networks: Combining Neurons into a Neural Network

13: Neural Networks: Combining Neurons into a Neural Network

Neural networksMachine learning

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Thumbnail for Neural Networks: Basic Architecture

12: Neural Networks: Basic Architecture

Neural networksMachine learning

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Thumbnail for Gaussian Process Regression

11: Gaussian Process Regression

RegressionMachine learning

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Thumbnail for Comparing Principal Component Analysis and Linear Regression

10: Comparing Principal Component Analysis and Linear Regression

RegressionMachine learning

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9: Linear Regression

RegressionMachine learning

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8: K Nearest Neighbors

ClassificationMachine learning

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Thumbnail for Logistic Regression: Probabilistic Classification for Binary Outcomes

7: Logistic Regression: Probabilistic Classification for Binary Outcomes

RegressionMachine learning

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Thumbnail for Fuzzy Clustering: Fuzzy C-means and Gaussian Mixture Models

6: Fuzzy Clustering: Fuzzy C-means and Gaussian Mixture Models

Mixture modelsProbability

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Thumbnail for K-Means Algorithm in High Dimensional Cases

5: K-Means Algorithm in High Dimensional Cases

ClusteringMachine learning

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Thumbnail for Determining the Number of Clusters in the K-Means Algorithm

4: Determining the Number of Clusters in the K-Means Algorithm

ClusteringMachine learning

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Thumbnail for K Means Algorithm: A Canonical Clustering Method

3: K Means Algorithm: A Canonical Clustering Method

ClusteringMachine learning

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Thumbnail for Principal Component Analysis: Definition

2: Principal Component Analysis: Definition

Dimension reductionMachine learning

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Thumbnail for Principal Component Analysis: Motivation

1: Principal Component Analysis: Motivation

Dimension reductionMachine learning

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Thumbnail for Machine Learning Toolkit Module Overview

0: Machine Learning Toolkit Module Overview

OverviewMachine learning

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