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Reducing Complexity in Data in Microsoft Azure

In machine learning, feature sets can quickly become complicated and unwieldy. This course will give you the skills needed to reduce the complexity of your feature sets to help ensure you get better and more consistent insights into your data.

Advanced
2h 14m
(8)

Created by Steph Locke

Last Updated Dec 10, 2019

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  • Course

Reducing Complexity in Data in Microsoft Azure

In machine learning, feature sets can quickly become complicated and unwieldy. This course will give you the skills needed to reduce the complexity of your feature sets to help ensure you get better and more consistent insights into your data.

Advanced
2h 14m
(8)

Created by Steph Locke

Last Updated Dec 10, 2019

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What you'll learn

If you're building models for data science, your feature sets can quickly become complicated and hard to understand. In this course, Reducing Complexity in Data in Microsoft Azure, you will learn how to reduce the complexity of feature sets, making models more understandable, more straightforward to build, and more robust. First, you will learn to understand feature set complexity and how it impacts your models. Next, you will discover a range of different techniques to improve the complexity of your feature sets. Finally, you will explore various advanced methods for feature set complexity reduction. When you are finished with this course, you will have the skills and knowledge needed to reduce the complexity of your models, and create more straightforward and manageable models, leading to better and more consistent insights into your data.

Reducing Complexity in Data in Microsoft Azure
Advanced
2h 14m
(8)
Table of contents

About the author
Steph Locke - Pluralsight course - Reducing Complexity in Data in Microsoft Azure
Steph Locke
1 courses 0.0 author rating 0 ratings

Steph Locke is a data scientist, entrepreneur, and Microsoft MVP in AI and Data Platform.

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