This course is part of the Artificial Intelligence: an Overview Specialization

Marcello Restelli

Offered By

Artificial Intelligence: an Overview SpecializationPolitecnico di Milano

About this Course

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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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 5 of 5 in the

Artificial Intelligence: an Overview Specialization

Beginner Level

No prerequisites are required: however, having basic statistical notions may help you better understand some considerations.

Approx. 3 hours to complete

English

Subtitles: English

What you will 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

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 5 of 5 in the

Artificial Intelligence: an Overview Specialization

Beginner Level

No prerequisites are required: however, having basic statistical notions may help you better understand some considerations.

Approx. 3 hours to complete

English

Subtitles: English

Instructor

Marcello Restelli

Associate Professor

DEIB - Dept. of Electronics, Information and Bioengineering

182 Learners

1 Course

Offered by

Politecnico di Milano

Politecnico di Milano is a scientific-technological University, which trains engineers, architects and industrial designers.

Syllabus - What you will learn from this course

Week

Week 1

1 hour to complete

Week 1 - Supervised Learning

1 hour to complete

4 videos (Total 33 min)

Week

Week 2

1 hour to complete

Week 2 - Unsupervised Learning

1 hour to complete

3 videos (Total 21 min)

Week

Week 3

1 hour to complete

Week 3 - Reinforcement Learning

1 hour to complete

3 videos (Total 21 min)

About the Artificial Intelligence: an Overview Specialization

This Specialization is intended for beginners seeking to enter the artificial intelligence world. Through five courses, you will cover artificial intelligence technical groundings (including machine learning and technologies), ethical and legal issues, which will give you a clear picture of what artificial intelligence is and what opportunities artificial intelligence will provide in the next future.

Frequently Asked Questions

When will I have access to the lectures and assignments?
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.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
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.

More questions? Visit the Learner Help Center.

Machine Learning: an overview