Name: Machine Learning for All
Brand: University of London
Availability: OnlineOnly
Rating: 4.7 (956 reviews)

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学生对 University of London 提供的 Machine Learning for All 的评价和反馈

4.7

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3,511 个评分

课程概述

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....

926 - Machine Learning for All 的 950 个评论（共 959 个）

创建者 Abhishek K

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Mar 12, 2022

It is a basic course in which you will learn how ML works.

创建者 LAKSHAY G

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Jun 28, 2020

Didn't teach to code it in python,but got other information

创建者 Adam M

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Oct 22, 2025

Many thanks - not that highly value but still acceptable

创建者 thuyenPTL

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Feb 7, 2022

It's great to experience the basics of machine learning!

创建者 FEROZ S

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May 8, 2020

It's quiet good experience with this learning program.

创建者 Willie P

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Aug 2, 2020

It was very insightful and very easily to understand.

创建者 Md. A R u H

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May 23, 2020

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

创建者 Hritul P

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Aug 10, 2020

Not much informative, easy to understand though

创建者 Rupesh B

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Jun 27, 2021

the practical experience should also included

创建者 Diana G

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Feb 10, 2022

I was hoping to revie the topics more deeply

创建者 Dr A T

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Apr 30, 2020

Good course to start with the concepts of ML

创建者 Shashwat S

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Feb 6, 2022

Project was good but needed more quizes.

创建者 shreyash t

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May 14, 2020

very basic yet good stuff

创建者 Deleted A

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Nov 17, 2020

Good for school students

创建者 mona s

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Aug 13, 2024

it is very basic course

创建者 Yujun Z

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Nov 28, 2023

It is a bit too easy.

创建者 María S

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Feb 28, 2025

Very basic

创建者 SHARAN N

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Jul 14, 2021

Excellent

创建者 LAMBA v R Y

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May 13, 2020

Bnjhjkm

创建者 MD S H

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Sep 9, 2020

great

创建者 5191411027 K R

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Jan 10, 2022

good

创建者 Musale S C

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Jul 2, 2020

good

创建者 Usha R N

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May 16, 2020

good

创建者 Karen

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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.