Principles of Machine Learning

Price:Free

Date: On request

Type: e-learning

Category: Data Science/Data Analytics

Language: English

City: Online

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)

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    Give yourself an additional incentive to complete the course

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Speakers:

bio for Cynthia Rudin

Cynthia Rudin,

 Associate Professor 

MIT and Duke

bio for Dr Steve Elston

Dr. Steve Elston, 

Managing Director, 

Quantia Analytics, LLC

Professional skills

Machine learning algorithms

Python

R programming

Azure Machine Learning

Participation

To participate in this training, you can ENROLL NOW 

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