University of London

Machine Learning for All

Taught in English

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166,335 already enrolled

Course

Gain insight into a topic and learn the fundamentals

Prof Marco Gillies

Instructor: Prof Marco Gillies

4.7

(3,338 reviews)

Beginner level
No prior experience required
21 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace
Prepare for a degree

What you'll learn

  • You will understand the basic of how modern machine learning technologies work

  • You will be able to explain and predict how data affects the results of machine learning

  • You will be able to use a non-programming based platform train a machine learning module using a dataset

  • You will be able to form an informed opinion on the benefits and dangers of machine learning to society

Details to know

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Assessments

7 quizzes

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There are 4 modules in this course

In this week you will learn about artificial intelligence and machine learning techniques. You will learn about the problems that these techniques address and will have practical experience of training a learning model.

What's included

6 videos2 readings3 quizzes4 discussion prompts1 plugin

This week you will learn about how data representation affects machine learning and how these representations, called features, can make learning easier.

What's included

7 videos2 quizzes3 discussion prompts

In this topic you will get ready to do your own machine learning project. You will learn how to test a machine learning project to make sure it works as you want it to. You will also think about some of the opportunities and dangers of machine learning technology.

What's included

6 videos3 readings1 quiz4 discussion prompts1 plugin

In this final topic you will do your own machine learning project: collecting a dataset, training a model and testing it.

What's included

4 videos2 readings1 quiz1 peer review3 discussion prompts1 plugin

Instructor

Instructor ratings
4.8 (1,031 ratings)
Prof Marco Gillies
University of London
14 Courses528,527 learners

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4.7

3,338 reviews

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RG
5

Reviewed on Jun 16, 2020

CS
5

Reviewed on May 11, 2020

FM
5

Reviewed on May 24, 2021

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