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Вернуться к Machine Learning for All

Отзывы учащихся о курсе Machine Learning for All от партнера Лондонский университет

4.7
звезд
Оценки: 2,950

О курсе

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....

Лучшие рецензии

AA

6 мая 2020 г.

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

25 авг. 2020 г.

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!

Фильтр по:

576–600 из 824 отзывов о курсе Machine Learning for All

автор: PHIRI M

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13 авг. 2020 г.

very good

автор: Dr. S V

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1 авг. 2020 г.

Excellent

автор: Samiya M

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8 июля 2020 г.

very good

автор: Nagarajan

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23 июня 2020 г.

Very Good

автор: BHOGI M P

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4 июня 2020 г.

Excellent

автор: Syed Y

•

10 мая 2020 г.

very good

автор: Amol S J

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7 мая 2020 г.

Excellent

автор: saurav n

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1 мая 2020 г.

Awsome!!!

автор: Dr T V R

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30 апр. 2020 г.

excellent

автор: Joydason

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23 апр. 2020 г.

Brilliant

автор: Shakeer a

•

23 апр. 2020 г.

Very good

автор: Manikala S

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22 апр. 2020 г.

Excellent

автор: M H S S G B

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21 апр. 2020 г.

Excellent

автор: Vimarsha V

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21 янв. 2021 г.

Superb!!

автор: TUSHAR K

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30 сент. 2020 г.

Good one

автор: Sidra A 1

•

22 июня 2020 г.

GRT WORK

автор: Abhishek K

•

12 июля 2022 г.

awesome

автор: 张艺锋

•

15 апр. 2022 г.

not bad

автор: BONDADA S B

•

18 дек. 2021 г.

awesome

автор: NANDAN K R 2

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8 апр. 2021 г.

awesome

автор: TUSHAR S (

•

1 апр. 2021 г.

amazing

автор: Basel H

•

16 мар. 2021 г.

Amazing

автор: riya g

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5 авг. 2020 г.

amazing

автор: Nikita S

•

6 июля 2020 г.

Helpful

автор: Suresh P

•

23 апр. 2020 г.

Nothing

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