Name: Machine Learning for All
Brand: University of London
Availability: OnlineOnly
Rating: 4.7 (955 reviews)

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

4.7

stars

3,509 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

May 11, 2020

If you are beginner In ML from a different domain or even computer science and want to have a quick and short exposure to ML with a great teacher i will recommend to take this course .

Jun 16, 2020

Excellent introductory concept to Machine Learning. The course is easy-to-follow and clear to understand. The quiz at the end of each chapter also serves as a good recap to the understanding.

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926 - 950 of 955 Reviews for Machine Learning for All

By FEROZ S

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May 8, 2020

It's quiet good experience with this learning program.

By Willie P

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Aug 2, 2020

It was very insightful and very easily to understand.

By Md. A R u H

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May 23, 2020

Image Classifier haven't work, and I couldn't use it!

By Hritul P

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Aug 10, 2020

Not much informative, easy to understand though

By Rupesh B

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Jun 28, 2021

the practical experience should also included

By Diana G

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Feb 10, 2022

I was hoping to revie the topics more deeply

By Dr A T

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Apr 30, 2020

Good course to start with the concepts of ML

By Shashwat S

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Feb 7, 2022

Project was good but needed more quizes.

By shreyash t

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May 14, 2020

very basic yet good stuff

By Deleted A

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Nov 17, 2020

Good for school students

By mona s

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Aug 13, 2024

it is very basic course

By Yujun Z

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Nov 28, 2023

It is a bit too easy.

By María S

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Feb 28, 2025

Very basic

By SHARAN N

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Jul 15, 2021

Excellent

By LAMBA v R Y

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May 13, 2020

Bnjhjkm

By MD S H

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Sep 10, 2020

great

By 5191411027 K R

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Jan 10, 2022

good

By Musale S C

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Jul 2, 2020

good

By Usha R N

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May 16, 2020

good

By Kaitlyn

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Jun 18, 2022

I don't understand why you have to add the peer review part. Some people will just put 0 mark no matter how you did the assignment, which is not fair.