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

4.7
stars
3,413 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

AA

May 6, 2020

THIS COURSE REALLY REALLY FOUND HELPFUL.AND THIS IS A PERFECT COURSE FOR A BEGINNER.REALLY GAINED AN INSIGHT INTO MACHINE LEARNING.BENEFITS AND DANGERS .AND THE INSTRUCTOR IS TOO TOO GOOD.LOTS OF LOVE

AA

Aug 25, 2020

Awesome course, teaches the concepts of machine learning to anyone regardless of previous knowledge. I suggest anyone who just wants to understand how machine learning works to enroll in this course!

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551 - 575 of 925 Reviews for Machine Learning for All

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 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

By Vinitha.V

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Feb 24, 2021

Very good course

By Anirvinna J

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Aug 10, 2020

Great experience

By Girijamma H A

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Aug 1, 2020

good start on ML

By Preetam k C

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Jul 31, 2020

Funtastic course

By Gunjan

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Jul 26, 2020

Excellent course

By Khawla R S R A

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Jul 15, 2020

excellent course

By SOURISH D

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Jul 6, 2020

Very good course

By PULI D S

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Jul 6, 2020

Excellent course

By NARESH S

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Jul 6, 2020

Excellent course

By Naveed S

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Jun 24, 2020

Great Experience

By Omkar K

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Jun 21, 2020

Very Nice Course

By ABHAY K 1

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Jun 6, 2020

Amazing, Thanks!

By stuti t

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Jun 3, 2020

great experience

By Prabhu S

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May 29, 2020

Excellent Course