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
![](https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-course-photos.s3.amazonaws.com/90/0d0766c82d410b88d1af24572ec7af/AI105_cover.jpg?auto=format%2Ccompress&dpr=1&w=300&h=300&fit=crop)
Related Online Courses
Learn how to communicate more effectively at work and achieve your goals. Taught by award-winning Wharton professor and best-selling author Maurice Schweitzer, Improving Communications Skills is an... more
In this course, participants will develop an understanding of the intuitive foundations of asset and investment valuation, and how alternative valuation techniques may be used in practice. This is... more
This specialisation covers topics ranging from basic computing principles to the mathematical foundations required for computer science. You will learn fundamental concepts of how computers work,... more
This is the first course of a six part specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where... more
In this 70 minutes long project-based course, you will learn how to create a table and a form in HTML, and style them using CSS. To achieve this, we will work through creating an structuring a... more