Introduction to Virtualization: What Is a Virtual Machine?
August 14, 2024
Article · 6 min read
Cultivate your career with expert-led programs, job-ready certificates, and 10,000 ways to grow. All for $25/month, billed annually. Save now
This course is part of Artificial Intelligence: an Overview Specialization
Instructor: Marcello Restelli
6,463 already enrolled
Included with
(155 reviews)
Recommended experience
Beginner level
No prerequisites are required: however, having basic statistical notions may help you better understand some considerations.
(155 reviews)
Recommended experience
Beginner level
No prerequisites are required: however, having basic statistical notions may help you better understand some considerations.
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
Add to your LinkedIn profile
3 assignments
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
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.
4 videos1 assignment
3 videos1 assignment
3 videos1 assignment
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Politecnico di Milano is a scientific-technological University, which trains engineers, architects and industrial designers. From 2014 Politecnico di Milano started the release of several MOOCs, developed by the service for digital learning METID (Methods and Innovative Technologies for Learning), giving everybody the chance to enhance personal skills.
Alberta Machine Intelligence Institute
Course
Duke University
Course
Northeastern University
Course
The University of Chicago
Course
155 reviews
67.74%
24.51%
7.09%
0%
0.64%
Showing 3 of 155
Reviewed on Dec 5, 2022
This is an excellent course on Machine learning, very concise and well presented.
Reviewed on Sep 8, 2023
VERY WELL PREPARED,PRESENTED AND INFORMATIVE COURSE PROVIDED BY COURSERA.
Reviewed on Aug 7, 2023
condensed, good if you (still?) have good math background or spend some time on (re)education after each session
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
Financial aid available,
New to Coursera?
Having trouble logging in? Learner help center
This site is protected by reCAPTCHA Enterprise and the Google Privacy Policy and Terms of Service apply.