Feature Selection and Extraction in Microsoft Azure

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.
Course info
Level
Intermediate
Updated
Dec 12, 2019
Duration
1h 28m
Table of contents
Description
Course info
Level
Intermediate
Updated
Dec 12, 2019
Duration
1h 28m
Description

It is no secret that Data Scientists spend a very large proportion of their time preparing data. In this course, Feature Selection and Extraction in Microsoft Azure, you'll gain the ability to prepare your data for use in your machine learning models. First, you'll learn how to extract features from raw data, including non-text formats. Next, you'll discover how to normalize features, converting your data to a common scale without distorting your data. Finally, you'll explore how to select those features that are more relevant to your model. When you're finished with this course, you'll have the skills and knowledge of feature extraction, normalization, and selection needed to prepare your data. Software required: Azure ML Studio classic.

About the author
About the author

Xavier is very passionate about teaching, helping others understand search and Big Data. He is also an entrepreneur, project manager, technical author, trainer, and holds a few certifications with Cloudera, Microsoft, and the Scrum Alliance, along with being a Microsoft MVP.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
[Autogenerated] Hi, everyone. My name is so you know, more data and welcome to my cores Features election and extraction in Microsoft Basher I am very passionate about working with data and data, particulary lee large amounts of data being a cornerstone off machine learning. There is no doubt in my mind that machine learning is the future. And you know what makes machine learning easier? Well, Asher ml Studio In this course, we're going to learn how to perform one of the most basic and necessary steps off preparing our data for machine learning what's called feature extraction and selection with the help Off Asher ML Studio. Some of the major topics that we will cover include feature extraction featured Normalization and Features Election. By the end of this course, you will be able to extract, normalize and select features from different types off data sets, beat from text, numerical data, images or other sources. With the help of Asher Ml studio before beginning the course, you should be familiar with the basic concepts off machine learning as well as Microsoft. Asher. I hope you'll join me on this journey to learn howto extract, normalize and select features with the features election and extraction in Microsoft. Asher course at plural site