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/en/principles-of-machine-learning-3

Training Description:

Get hands-on experience building and deriving insights from machine learning models using R, Python, and Azure Machine Learning.

This course is part of the Microsoft Professional Program Certificate in Data Science.

Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends.

In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using R, Python, and Azure Machine Learning.

Who is eligible:

What you'll learn

• Explore classification
• Regression in machine learning
• How to improve supervised models
• Details on non-linear modeling
• Clustering
• Recommender systems
• The hands-on elements of this course leverage a combination of R, Python, and Microsoft Azure Machine Learning

Additional information

Pursue a Verified Certificate to highlight the knowledge and skills you gain ($99)

• Official and Verified

  Receive an instructor-signed certificate with the institution's logo to verify your achievement and increase your job prospects

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  Add the certificate to your CV or resume, or post it directly on LinkedIn

• Proven Motivator

  Give yourself an additional incentive to complete the course

• Support our Mission

  EdX, a non-profit, relies on verified certificates to help fund free education for everyone globally

Speakers:

Cynthia Rudin,

 Associate Professor 

MIT and Duke

Dr. Steve Elston, 

Managing Director, 

Quantia Analytics, LLC