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Вернуться к Structuring Machine Learning Projects

Отзывы учащихся о курсе Structuring Machine Learning Projects от партнера deeplearning.ai

4.8
звезд
Оценки: 48,224
•
Рецензии: 5,531

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

AM

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.

TG

1 дек. 2020 г.

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

Фильтр по:

5051–5075 из 5,499 отзывов о курсе Structuring Machine Learning Projects

автор: Michael B

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23 февр. 2020 г.

Good concepts, but subjective.

автор: Michael C

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23 мая 2018 г.

Very good experience sharing!!

автор: Jens R

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19 нояб. 2017 г.

Very informative and relevant.

автор: Ajay P

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27 сент. 2017 г.

good theoretical course on ml.

автор: Nicolas M

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22 июня 2021 г.

No practice coding at all...?

автор: Benoit D

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16 июня 2019 г.

Lack of practical assignments

автор: Davide F

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20 апр. 2019 г.

Interesting but a bit verbose

автор: Emanuel G

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1 дек. 2018 г.

Quite short, but nice to have

автор: Şükrü O

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5 сент. 2018 г.

A good knowledge extension...

автор: João P J

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15 окт. 2017 г.

Good but not very challenging

автор: Juan P

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2 авг. 2020 г.

Interesting concepts. Thanks

автор: Tomas S

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1 июня 2020 г.

Good Work, maybe more speed.

автор: Sebastian D

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12 сент. 2019 г.

Would have liked some coding

автор: Bhon B

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29 июля 2019 г.

Some errors in video editing

автор: Thomas W

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9 мая 2018 г.

Bit fluffy but good content.

автор: 李想

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27 февр. 2018 г.

No programming assignment :(

автор: 徐衔

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16 дек. 2017 г.

more exercise will be better

автор: Juan A R P

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20 мая 2022 г.

I wish it had a coding part

автор: Hemanth R

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10 авг. 2020 г.

overall a feel-good course.

автор: Chaitanya M

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5 июля 2020 г.

Thanks,you are a great help

автор: Mahmudul H

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8 сент. 2018 г.

Happy to Learning something

автор: Ashis K C

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9 окт. 2017 г.

It is good, but very short.

автор: 李浩然

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22 июля 2019 г.

not as good as lecture 1&2

автор: Rahul S

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31 авг. 2018 г.

No programming assignments

автор: Gijs O

•

12 апр. 2018 г.

Not as good as the others!

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