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Learner Reviews & Feedback for Machine Learning for All by University of London

4.7
stars
3,514 ratings

About the Course

Machine Learning, often called Artificial Intelligence or AI, is one of the most exciting areas of technology at the moment. We see daily news stories that herald new breakthroughs in facial recognition technology, self driving cars or computers that can have a conversation just like a real person. Machine Learning technology is set to revolutionise almost any area of human life and work, and so will affect all our lives, and so you are likely to want to find out more about it. Machine Learning has a reputation for being one of the most complex areas of computer science, requiring advanced mathematics and engineering skills to understand it. While it is true that working as a Machine Learning engineer does involve a lot of mathematics and programming, we believe that anyone can understand the basic concepts of Machine Learning, and given the importance of this technology, everyone should. The big AI breakthroughs sound like science fiction, but they come down to a simple idea: the use of data to train statistical algorithms. In this course you will learn to understand the basic idea of machine learning, even if you don't have any background in math or programming. Not only that, you will get hands on and use user friendly tools developed at Goldsmiths, University of London to actually do a machine learning project: training a computer to recognise images. This course is for a lot of different people. It could be a good first step into a technical career in Machine Learning, after all it is always better to start with the high level concepts before the technical details, but it is also great if your role is non-technical. You might be a manager or other non-technical role in a company that is considering using Machine Learning. You really need to understand this technology, and this course is a great place to get that understanding. Or you might just be following the news reports about AI and interested in finding out more about the hottest new technology of the moment. Whoever you are, we are looking forward to guiding you through you first machine learning project. NB this course is designed to introduce you to Machine Learning without needing any programming. That means that we don't cover the programming based machine learning tools like python and TensorFlow....

Top reviews

AS

May 30, 2020

An wonderful course with basics on Machine Learning. Neatly done. Learned a lot and did some practical exercise too. Those who are interested in Machine Learning good to begin with this course.

MA

Jul 7, 2020

A great course! This is my first step towards machine learning ! Learned alot. Loved the course and the way the professor taught us! ❣️Thanks to coursera and University of London ❣️

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551 - 575 of 958 Reviews for Machine Learning for All

By Somala P K

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Apr 24, 2020

It's good for learning

By ms.sneha p b

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Aug 16, 2020

excellent explanation

By Rambabu M

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Jul 15, 2020

Thanks for the Course

By BIPILLI S

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Sep 11, 2022

easy to understand.

By MACALINTAL, E B

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Sep 26, 2021

I have learned a lot

By Swati J

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Jun 22, 2020

nice traning session

By SHALINI

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May 22, 2020

Un enroll the course

By John M

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Dec 30, 2022

I loved this course

By Nasimi S

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Jun 17, 2022

excellent!!!!!!!!!!

By Mohammad B

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Aug 16, 2023

THANKYOU FOR THIS!

By John M

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Oct 17, 2022

challenging course

By Melisha Q

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Jul 5, 2021

well taught course

By Nelson J B F

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Aug 23, 2020

A very good course

By Sonika G

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Jul 26, 2020

Interesting Course

By G S K

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Jul 10, 2020

EASY TO UNDERSTAND

By Abhishek V

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Jun 30, 2020

Excellent course!!

By MALLAIAH V

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Jun 12, 2020

It is very usefull

By purnachand k

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Apr 22, 2020

Exceptionally Good

By Muhamedyar I

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Aug 21, 2024

Easy for everyone

By Javed A

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Sep 30, 2020

Very good course.

By SANSKAR S

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Jul 30, 2020

amazing teacher..

By ASHOK K N

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May 31, 2020

Excellent mentors

By Mallem V N P

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Feb 17, 2025

great experiance

By Akhand P S

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Sep 13, 2021

Wonderful course

By Utkarsh D G

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Apr 4, 2021

nicely explained