Machine Learning: an overview
About this Course
The course provides a general overview of the main methods in the machine learning field. Starting from a taxonomy of the different problems that can be solved through machine learning techniques, the course briefly presents some algorithmic solutions, highlighting when they can be successful, but also their limitations. These concepts will be explained through examples and case studies.Created by: Politecnico di Milano
Related Online Courses
Explore the exciting world of quantum computing with this comprehensive beginner\'s course. Start by building a strong foundation in key mathematical concepts like complex numbers, matrix... more
Acute stroke is a time-dependent medical emergency. In acute ischemic stroke, the first objective is to restore brain flow using sistemic thrombolytic treatment and, in patients with large vessel... more
Data science and artificial intelligence are exciting fields to join, but with the explosion of growth has come a somewhat unexpected outcome: high competitiveness in the job market. This... more
Karate is an open-source framework for API Test automation that uses BDD style syntax, has a rich assertion library, built-in HTML reports. In this 2-hour long project-based course, you will learn... more
Take your skills to the next level with \'Mixing and Completing Your Music Production.\' This comprehensive course covers the essential processes of transforming raw recordings into a polished demo... more
Powered by
