Feature Selection and Extraction in Microsoft Azure

سرفصل های دوره

One of the most important aspects of Machine Learning is using the right data in the right format for your models. In this course you will learn how to extract, normalize, and select the best features for your models using Azure Machine Learning Studio.

1. Course Overview

1. Course Overview

2. Exploring Your Dataset for Feature Selection and Extraction

1. Exploring Your Dataset for Feature Selection and Extraction

2. What Is a Feature in Machine Learning

3. Exploring Your Data and Identifying the Distribution of Your Da

4. Determining the Feature Structure Appropriate for the Algorithm

5. Dataset Exploration Demo

6. Takeaway

3. Performing Feature Extraction

1. What Is Feature Extraction

2. Performing Feature Extraction

3. Creating and Using Feature Extraction Algorithms

4. Performing Feature Extraction on Unstructured Text

5. Demo - Human Face or Not Human Face

6. Takeaway

4. Performing Feature Normalization

1. Performing Feature Normalization

2. Understanding Feature Normalization

3. Clip Values Demo

4. Group Data into Bins Demo

5. Normalize Data Demo

6. Principal Component Analysis Demo

7. Encoding Features Demo

8. Takeaway

5. Performing Feature Selection

1. Performing Feature Selection

2. Understanding Feature Selection

3. Fliter Based Feature Selection Demo

4. Fisher Linear Discriminant Analysis Demo

5. Permutation Feature Importance Demo

6. Compute Linear Correlation Demo

7. Takeaway

6. Final Takeaway

1. Final Takeaway

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تولید کننده: PluralSight