Data Science with Microsoft Azure and R
Working with Cloud-based Predictive Analytics and Modeling
By Stephen Elston
Publisher: O'Reilly Media
Final Release Date: June 2015
Run time: 6 hours 48 minutes

In this Data Science with Microsoft Azure and R training course, expert author Stephen Elston will teach you how to develop and deploy effective machine learning models in the Microsoft Azure Machine Learning (ML) environment. This course is designed for users that are familiar with R.

You will start with an overview of Azure ML, then move into an introduction to R in Azure ML. From there, Stephen will teach you about data munging and SQL in Azure ML, as well as how to use the dplyr package, install R packages in Azure ML, and reshape data with tidyr. This video tutorial also covers feature selection and dimensionality reduction, functional programming with R, and R object communications. Finally, you will learn about Azure ML web services, including how to create and update an Azure ML web service.

Once you have completed this computer based training course, you will be fully capable of developing and deploying your own ML models in the Microsoft Azure ML environment.

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oreillyData Science with Microsoft Azure and R
 
4.0

(based on 2 reviews)

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5.0

Excellent AML course

By LikeAML

from Remond

Verified Reviewer

Comments about oreilly Data Science with Microsoft Azure and R:

If you are a newbie to Microsoft azure machine learning, this is a course will teach you how to get familiar with AML and how to build your own model quickly. This course will save you tons of research time from all documents online. Steve has done great job in this video to bring up all key points in AML and teach you how to avoid unnecessary troubles when you use AML. Kudos to Steve!

 
3.0

helpful content, irritating speaker

By aml_user

from Redmond, WA

About Me Developer

Verified Reviewer

Pros

  • Accurate
  • Concise
  • Easy to understand
  • Helpful examples

Cons

  • Too basic

Best Uses

  • Intermediate
  • Novice

Comments about oreilly Data Science with Microsoft Azure and R:

The material is informative and well-organized. So for the sake of getting the information, it's good. (I got it at 50% off.) However, the speaker is irritating to listen to. Every other sentence ends with an upward intonation, like a question (or a valley girl). It's driving me nuts, and I'm only on #8 out of 72 clips. He also always mispronounces "etc." as "EK-cetera", which makes me wonder how careful he is in anything else he says. (It's "et cetera", Latin for "and other things".) I wonder why O'Reilly doesn't do some sort of proofing of the first sections before the whole thing is recorded, so the delivery problems could be corrected.

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