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.
Reviews
4.4 (38 ratings)
5 stars
See AlsoWhy is Community Engagement Important? | GranicusDecision Making: Factors that Influence Decision Making, Heuristics Used, and Decision OutcomesThe Role of Social Media in Decision Making - Mauco EnterprisesThe critical part of the decision-making process is ________.55.26%
4 stars
34.21%
3 stars
7.89%
1 star
2.63%
CL
Dec 6, 2022
This is an excellent course on Machine learning, very concise and well presented.
RS
Sep 9, 2023
VERY WELL PREPARED,PRESENTED AND INFORMATIVE COURSE PROVIDED BY COURSERA.
From the lesson
Week 3 - Reinforcement Learning
Taught By
Marcello Restelli
Associate Professor