Description
Definitive Guide to Azure Machine Learning Studio
Link to the agenda and sample videos from the course
Length: 4 Hours and 37 Minutes
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Instructor
Dr. Leila Etaati
Our trainer is the world’s well-known name in the Microsoft Data Science and Power BI fields. Leila Etaati is Microsoft AI, and Data Platform (Most Valuable Professional) focused on AI and BI Microsoft technologies; Microsoft has awarded her MVP because of her dedication and expertise in Microsoft BI technologies from 2016 till now. She is a speaker in the world’s best and biggest Microsoft Data Platform, BI and Power BI, AI conferences such as Microsoft Ignite, Microsoft Business Applications Summit, Microsoft Data Insight Summit, PASS Summits, PASS Rallys, SQLBits, TechEds, and so on. She is the author of some books on this topic, and she has more than 15 years’ experience in Microsoft BI technologies and Data science. Leila is the co-founder of RADACAD and a consultant for more than seven years.
- It mainly focuses on the basic introduction to machine learning
- The Azure machine Learning environment
- Create a very simple machine learning model
- How to import Data into Azure ML Studio and clean it
- How much data we need for machine learning and Split
- How to handle missing values and normalize data
- Which columns and attributes we need to consider
- A different approach for data cleaning and identify the outliers
- What is PCA and how we can use it for feature selection
- Clustering the data using k-mean Clustering
- How to create a simple web service out of data
- Tune Model using Hyperparameters
- Cross-validation to enhance the performance
- How to consume Azure ML Studio web service with Power BI desktop
- How to use Azure ML Studio web service with Power BI Service
- How to use Azure ML Studio in Stream Analytics Scenario
- How to consume it in Microsoft Flow
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