Machine learning is the foundation for predictive modeling and artificial intelligence. If you want to learn about both the underlying concepts and how to get into building models with the most common machine learning tools this path is for you. In this course, you will learn the core principles of machine learning and how to use common tools and frameworks to train, evaluate, and use machine learning models.

Create Machine Learning Models in Microsoft Azure

Create Machine Learning Models in Microsoft Azure
This course is part of Microsoft Azure Data Scientist Associate (DP-100) Exam Prep Professional Certificate

Instructor: Microsoft
Access provided by Lockheed Martin
39,866 already enrolled
330 reviews
Recommended experience
What you'll learn
How to plan and create a working environment for data science workloads on Azure
How to run data experiments and train predictive models
Skills you'll gain
- Transfer Learning
- Image Analysis
- Machine Learning
- MLOps (Machine Learning Operations)
- Predictive Modeling
- Applied Machine Learning
- Data Visualization
- Convolutional Neural Networks
- Data Analysis
- Regression Analysis
- Data Science
- Artificial Intelligence and Machine Learning (AI/ML)
- Deep Learning
- Unsupervised Learning
- Exploratory Data Analysis
Details to know

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Reviewed on Feb 7, 2023
This course is very easy to understand and have a great value for new data science professionals. To the point explanations and engaging content by team Microsoft.
Reviewed on Feb 20, 2022
Great course with lots of insights. Definetly worth it!
Reviewed on Dec 3, 2023
Condense but solid course on ML basics. AND first time I was guided in a cloud provider for ML use cases without having to shed tears from frustration. Very good to gain first familiarity with Azure.





