Chevron Left
Вернуться к Structuring Machine Learning Projects

Отзывы учащихся о курсе Structuring Machine Learning Projects от партнера

Оценки: 47,526
Рецензии: 5,451

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

1 июля 2020 г.

While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).

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.

Фильтр по:

5251–5275 из 5,412 отзывов о курсе Structuring Machine Learning Projects

автор: Anatolii B

1 окт. 2018 г.

some quiz questions are poorly formed, a little disappointing.

автор: Emmanuel D M

21 апр. 2020 г.

I thini the course needs more quizzess and a program exercise

автор: C. I

17 авг. 2017 г.

Very short, not many practical examples. Lots of repetitions.

автор: W S

31 авг. 2019 г.

Video lectures tend to be repetitious, and can be confusing.

автор: Anthony M

23 окт. 2017 г.

Practical knowledge, but I would prefer more hands on coding

автор: Jiheng R Z

9 сент. 2017 г.

Quite a few errors and ambiguities in the practice problems.

автор: Zingg

16 нояб. 2017 г.

The topics are interesting however the content is off par.

автор: Axel G

14 июня 2020 г.

Good content, but very focused on Computer Vision and NLP

автор: Daniel D

4 сент. 2017 г.

The course es good, but it seems still under development.

автор: Juan A C A

30 авг. 2017 г.

It would be better if you include programming exercises.

автор: A M

13 янв. 2018 г.

It was hard to keep interested - lost focus many times

автор: Brandon C

6 дек. 2018 г.

lacking in the usual engaging programming assignments

автор: Varun S

23 сент. 2018 г.

Was expecting more scenarios for real data experience

автор: Jian Z

6 нояб. 2017 г.


автор: Bogdan P

19 сент. 2018 г.

The course is OK, but it lacks programming exercises


20 июля 2019 г.

Learned new things but the course was boring.......

автор: Tzushuan W

1 июня 2019 г.

Wordy and too abstract without hands on experience.

автор: Evgeny S

5 апр. 2018 г.

I would rather expect a course more like a capstone

автор: Mirko R

4 янв. 2021 г.

It's been overall useful, but it's not "hard" ML.

автор: Rishab K

25 апр. 2020 г.

a assignment could be given along with the theory

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