Machine Learning in Astrophysics and Cosmology
Offered By: Alan Turing Institute via YouTube
Course Description
Overview
Explore the intersection of machine learning, astrophysics, and cosmology in this 1-hour 8-minute talk from the Alan Turing Institute. Discover how researchers are leveraging advanced data analysis methods to handle the ever-growing volumes of data from cutting-edge observatories and large-scale simulations. Learn about the pioneering efforts in developing infrastructure to support massive data pipelines and the community-driven approach to problem-solving in these fields. Gain insights into the challenges and opportunities presented by big data in astrophysics and cosmology, and understand how the wider physics and AI communities can both learn from and contribute to these ongoing efforts.
Syllabus
Nature Reviews Physics: Machine learning in astrophysics and cosmology
Taught by
Alan Turing Institute
Related Courses
Social Network AnalysisUniversity of Michigan via Coursera Intro to Algorithms
Udacity Data Analysis
Johns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University via edX