Video Training: Definitive Guide to Azure Machine Learning Studio

$259.95

There is a huge demand for Ai and ML in the recent world. Microsoft proposed different tools for the aim of machine learning for data scientists, data engineer, and business users. Azure ML Studio is one of the Custom AI tools that are available for everyone via the cloud. It has a free subscription and the standard one.
In this course you will get familiar with basic of machine learning, the environment of the Azure ML  Studio an how to create mode, evaluate the model and enhance it. Moreover how to use later on in other applications. We have four main parts of the course agenda. Prerequisite:There is no Prerequisite for this course.

 

Link to the agenda and sample videos from the course

Description

Definitive Guide to Azure Machine Learning Studio

There is a huge demand for Ai and ML in the recent world. Microsoft proposed different tools for the aim of machine learning for data scientists, data engineer, and business users. Azure ML Studio is one of the Custom AI tools that are available for everyone via the cloud. It has a free subscription and the standard one.
In this course you will get familiar with basic of machine learning, the environment of the Azure ML  Studio an how to create mode, evaluate the model and enhance it. Moreover how to use later on in other applications. We have four main parts of the course agenda. Prerequisite:There is no Prerequisite for this course.
 

Link to the agenda and sample videos from the course

 

Modules: Part 1:
  1. It mainly focuses on the basic introduction to machine learning
  2. The azure machine Learning environment
  3. Create a very simple machine learning model
Part2
  1. How to import Data into Azure ML Studio and clean it
  2. How much data we need for machine learning and Split
  3. How to handle missing values and normalize data
  4. Which columns and attributes we need to consider
  5. A different approach for data cleaning  and identify the outliers
Part 3
  1. What is PCA and how we can use it for feature selection
  2. Clustering the data using k-mean Clustering
  3. How to create a simple web service out of data
  4. Tune Model using Hyperparameters
  5. Cross-validation to enhance the performance
Part 4
  1. How to consume Azure ML Studio web service with Power BI desktop
  2. How to use Azure ML Studio web service with Power BI Service
  3. How to use Azure ML Studio in Stream Analytics Scenario
  4. How to consume it in Microsoft Flow

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