Big Data, Machine Learning and Astrophysical Data


course ID

Lecturer

CFU

4

Length

14 Weeks

Semester DD

Second


Course details

Introduction and Definition of Machine Learning (ML) Where and Why ML is used. Types of Learning Supervised Learning – Linear and Nonlinear Regression. Unsupervised Learning – Clustering. Supervised Learning – SVM. Supervised Learning – Decision Trees. Unsupervised Learning – PCA Application to Astrophysical Data-sets.

Co-teaching: Dott. Del Moro Dario

Objectives

tbd