使用机器学习的分类方法

课程模块

Introduction

Get an overview of the course.

课程：

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.

课程：

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.

课程：

Overview of Classification Trees

Use Classification Trees

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Naive Bayes Classification

Train naive Bayes classification models with and without kernels.

课程：

Overview of Naive Bayes Classification

Use Naive Bayes Classification

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Discriminant Analysis

Train linear and quadratic discriminant analysis classification models.

课程：

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.

课程：

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.

课程：

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.

课程：

Overview of Neural Networks

Use Neural Networks for Classification

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Conclusion

Learn next steps and give feedback on the course.

课程：

Additional Resources

Survey

课程模块

Introduction

k-Nearest Neighbor Classification

Classification Trees

Naive Bayes Classification

Discriminant Analysis

Support Vector Machine Models

Ensemble Learning

Classification with Neural Networks

Conclusion

语言

带自动反馈的实操练习
通过 Web 浏览器访问 MATLAB
可共享的进度报告和课程证书

机器学习入门之旅

使用机器学习的分类方法

课程模块

Introduction

k-Nearest Neighbor Classification

Classification Trees

Naive Bayes Classification

Discriminant Analysis

Support Vector Machine Models

Ensemble Learning

Classification with Neural Networks

Conclusion

语言

带自动反馈的实操练习通过 Web 浏览器访问 MATLAB可共享的进度报告和课程证书

机器学习入门之旅

带自动反馈的实操练习
通过 Web 浏览器访问 MATLAB
可共享的进度报告和课程证书