Machine Learning applied to Astroinformatics

Machine Learning applied to Astroinformatics free download

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

Are you curious about how machine learning can be applied to space science and astronomy? In this course, you’ll learn how to build a complete machine learning project designed to solve real-world problems in the exciting and growing field of Astroinformatics.

You don’t need a background in machine learning or astronomy — we’ll start from the basics and guide you step by step. You’ll gain the foundational knowledge necessary to understand both fields, so you can confidently apply these techniques to real-world challenges in science and industry.

Throughout the course, you’ll explore the most practical and widely used machine learning algorithms for working with large datasets and making accurate predictions. More importantly, you’ll apply what you learn in a hands-on project using Python. Together, we’ll work with simulated data from a real-world telescope and develop several models to classify astronomical objects into different categories — just like data scientists and astronomers do in the field.

Whether you're an engineering student, a data enthusiast, or simply curious about how artificial intelligence intersects with astronomy, this course will give you the tools, skills, and inspiration to take your first steps into the universe of Astroinformatics.

Join now and start your journey into the stars — powered by machine learning!