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Отзывы учащихся о курсе Structuring Machine Learning Projects от партнера

Оценки: 48,341

О курсе

In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader. By the end, you will be able to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning. This is also a standalone course for learners who have basic machine learning knowledge. This course draws on Andrew Ng’s experience building and shipping many deep learning products. If you aspire to become a technical leader who can set the direction for an AI team, this course provides the "industry experience" that you might otherwise get only after years of ML work experience. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Лучшие рецензии


30 мар. 2020 г.

It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.


22 нояб. 2017 г.

I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.

Фильтр по:

5376–5400 из 5,521 отзывов о курсе Structuring Machine Learning Projects

автор: Eric H

17 мая 2021 г.

Very little content. Everything was common sense

автор: Md. S R F L C

24 дек. 2019 г.

More programming exercises would have been great

автор: Beatriz S M

14 февр. 2018 г.

Very general, I would like to be more specific..

автор: AKUT J R

16 авг. 2020 г.

Nice module however some repetition of content!

автор: Mikhail G

31 окт. 2017 г.

quite short, would be nice to get some practice

автор: Yabo L

6 мар. 2022 г.

The problems in quiz are like game of wording.

автор: Paavan G

19 сент. 2020 г.

Could have included some programming exercises

автор: Thomas A

26 мар. 2020 г.

Interesting but not very straight-to-the point

автор: Marco A L H

24 сент. 2018 г.

not as fun as the other courses of this series

автор: Manish S

9 апр. 2018 г.

Content was not enough to create a new course.

автор: Edward W

24 окт. 2017 г.

Expect more hand-on code practice or more quiz

автор: Allan Y

30 мар. 2018 г.

Should not be a separate course. Too general.

автор: Adam S

27 дек. 2017 г.

Some useful insights but not much depth here.

автор: Rahul T

29 июля 2021 г.

Very Well explaination of real life example

автор: Haoran Z

5 авг. 2020 г.

sometimes, it really hard to hear the voice

автор: Ankoor B

12 дек. 2017 г.

Not much coding. Some lectures were rushed.

автор: Qu S

18 нояб. 2018 г.


автор: 苏僮

15 авг. 2021 г.

There's no assignments to practise now :(

автор: Liam A

14 июня 2019 г.

Kinda boring, but still pretty practical.

автор: Daniel N

19 июня 2020 г.

Would have liked to have some exercises.

автор: Carl E C

16 мая 2020 г.

Not enough hands-on (coding) assignments

автор: Anh N

29 дек. 2017 г.

The concepts are difficult to understand

автор: Nico A

9 июля 2019 г.

not as interesting as the other courses

автор: Toon W

30 апр. 2018 г.

Not enough real programming examples.

автор: PRATHEES K S 1

26 февр. 2021 г.

Week 2 was difficult to understand