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Principles of Machine Learning

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

Self-Paced

Learning Style

Intermediate

Difficulty

24 Hours

Course Duration

Course Info

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

Course Information

ABOUT THIS COURSE

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.

Course Objective

  • 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

Audience:

  • AI developer
  • Machine Learning Engineer

Prerequisite:

  • There are no prerequisite required for this course

Outline

More Information

More Information
Brand Microsoft
Subjects Cloud Computing, Virtualization
Lab Access No
Technology Microsoft
Learning Style Self-Paced Learning
Difficulty Intermediate
Course Duration 24 Hours
Language English
VPA Discount VPA Discount

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