Principles of Machine Learning
Date: On request
Category: Data Science/Data Analytics
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
- Recommender systems
- The hands-on elements of this course leverage a combination of R, Python, and Microsoft Azure Machine Learning
Pursue a Verified Certificate to highlight the knowledge and skills you gain ($99)
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MIT and Duke
Dr. Steve Elston,
Quantia Analytics, LLC
Machine learning algorithms
Azure Machine Learning
ParticipationRegistration deadline: 14 May 2020
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