Machine Learning applied to Astroinformatics

Machine Learning applied to Astroinformatics

In this course, you are going to learn how to develop a machine learning project to solve real-world problems that you can find in the Astroinformatics area.

You will learn the more practical and useful algorithms that can help you to do predictions and work with big data.

If you are not familiar with machine learning and Astroinformatics, don't worry, because in this course, you will learn the necessary to understand these areas, so easily you will apply these techniques to real-world projects.

And as we know, the best way to learn is making, so we will develop a project using python, in which we are going to analyze simulated data of a real-world telescope and we are going to develop different machine learning models in order to classify different astronomical objects into different astronomical classes.

So, get started in machine learning with this amazing course and start to learn a little bit about how machine learning can improve the astroinformatics world.

Learn to develop a machine learning project to real world problems in Astroinformatics

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What you will learn

• How to apply machine learning techniques to real world problems in the area of Astroinformatics
• Learn to implement useful and popular machine learning algorithms
• Learn what Astroinformatics is

Rating: 3.6

Level: Beginner Level

Duration: 3 hours

Instructor: Leo Bravo