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.



Machine Learning: an overview
This course is part of Artificial Intelligence: an Overview Specialization

Instructor: Marcello Restelli
Access provided by New York State Department of Labor
6,254 already enrolled
(147 reviews)
Recommended experience
What you'll learn
Classify machine learning problems, supervised learning problems and describe the limitations of machine learning techniques in supervised learning
Classify machine learning problems in unsupervised learning, describe the utility of dimensionality reduction techniques
Formulate a sequential decision-making problem, explain what a value function is and describe how to optimize a policy in reinforcement learning
Skills you'll gain
Details to know

Add to your LinkedIn profile
3 assignments
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate


Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review

There are 3 modules in this course
What's included
4 videos1 assignment
What's included
3 videos1 assignment
What's included
3 videos1 assignment
Instructor

Offered by
Why people choose Coursera for their career




Learner reviews
147 reviews
- 5 stars
67.56%
- 4 stars
24.32%
- 3 stars
7.43%
- 2 stars
0%
- 1 star
0.67%
Showing 3 of 147
Reviewed on Aug 8, 2023
condensed, good if you (still?) have good math background or spend some time on (re)education after each session
Reviewed on Sep 9, 2023
VERY WELL PREPARED,PRESENTED AND INFORMATIVE COURSE PROVIDED BY COURSERA.
Reviewed on Dec 6, 2022
This is an excellent course on Machine learning, very concise and well presented.
Recommended if you're interested in Information Technology
Alberta Machine Intelligence Institute
Duke University
Northeastern University
The University of Chicago

Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy