Klassifikationsverfahren mit Machine Learning

Kursmodule

Introduction

Get an overview of the course.

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Course Overview

Course Example

k-Nearest Neighbor Classification

Train k-nearest neighbor models and change hyperparameters like the number of neighbors and the distance metric.

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Overview of k-Nearest Neighbor Classification

Use k-Nearest Neighbor Classification

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Classification Trees

Train decision tree models for classification and modify the tree branching specifications.

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Overview of Classification Trees

Use Classification Trees

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Naive Bayes Classification

Train naive Bayes classification models with and without kernels.

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Overview of Naive Bayes Classification

Use Naive Bayes Classification

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Discriminant Analysis

Train linear and quadratic discriminant analysis classification models.

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Overview of Discriminant Analysis

Use Discriminant Analysis

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Support Vector Machine Models

Train binary and multiclass SVM classification models and change the kernel hyperparameter.

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Overview of Support Vector Machines

Use Support Vector Machine Classification

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Ensemble Learning

Combine multiple models into an ensemble by using techniques like bagging, boosting, and subspace methods.

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Overview of Ensemble Learning

Use Ensemble Models

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Classification with Neural Networks

Train neural networks for classification and change hyperparameters such as the number fully connected layers and the layer size.

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Overview of Neural Networks

Use Neural Networks for Classification

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Conclusion

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Additional Resources

Survey

Kursmodule

Introduction

k-Nearest Neighbor Classification

Classification Trees

Naive Bayes Classification

Discriminant Analysis

Support Vector Machine Models

Ensemble Learning

Classification with Neural Networks

Conclusion

Sprache

Praktische Übungen mit automatischem Feedback
Zugang zu MATLAB über Ihren Webbrowser
Teilbarer Fortschrittsbericht und teilbares Kurszertifikat

Machine Learning Onramp

Klassifikationsverfahren mit Machine Learning

Kursmodule

Introduction

k-Nearest Neighbor Classification

Classification Trees

Naive Bayes Classification

Discriminant Analysis

Support Vector Machine Models

Ensemble Learning

Classification with Neural Networks

Conclusion

Sprache

Praktische Übungen mit automatischem FeedbackZugang zu MATLAB über Ihren WebbrowserTeilbarer Fortschrittsbericht und teilbares Kurszertifikat

Machine Learning Onramp

Praktische Übungen mit automatischem Feedback
Zugang zu MATLAB über Ihren Webbrowser
Teilbarer Fortschrittsbericht und teilbares Kurszertifikat