University of London

Machine Learning for All

175,343 already enrolled

Gain insight into a topic and learn the fundamentals.
4.7

(3,392 reviews)

Beginner level
No prior experience required
Flexible schedule
Approx. 21 hours
Learn at your own pace
97%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.7

(3,392 reviews)

Beginner level
No prior experience required
Flexible schedule
Approx. 21 hours
Learn at your own pace
97%
Most learners liked this course

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

Shareable certificate

Add to your LinkedIn profile

Assessments

7 quizzes

Taught in English

See how employees at top companies are mastering in-demand skills

Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

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 (1,044 ratings)
Prof Marco Gillies
University of London
14 Courses544,545 learners

Offered by

Recommended if you're interested in Software Development

Prepare for a degree

Taking this course by University of London may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 3392

4.7

3,392 reviews

  • 5 stars

    75.24%

  • 4 stars

    19.84%

  • 3 stars

    3.53%

  • 2 stars

    0.58%

  • 1 star

    0.79%

RG
5

Reviewed on Jun 16, 2020

AA
5

Reviewed on Aug 25, 2020

AS
5

Reviewed on Jul 24, 2020

New to Software Development? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ 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

Frequently asked questions