Chevron Left
Вернуться к Structuring Machine Learning Projects

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

4.8
звезд
Оценки: 44,630
Рецензии: 5,053

О курсе

You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two "flight simulators" that let you practice decision-making as a machine learning project leader. This provides "industry experience" that you might otherwise get only after years of ML work experience. After 2 weeks, you will: - Understand how to diagnose errors in a machine learning system, and - Be able to prioritize the most promising directions for reducing error - Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance - Know how to apply end-to-end learning, transfer learning, and multi-task learning I've seen teams waste months or years through not understanding the principles taught in this course. I hope this two week course will save you months of time. This is a standalone course, and you can take this so long as you have basic machine learning knowledge. This is the third course in the Deep Learning Specialization....

Лучшие рецензии

MG
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.

JB
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!).

Фильтр по:

3301–3325 из 4,998 отзывов о курсе Structuring Machine Learning Projects

автор: Jayesh R V

12 июня 2019 г.

Very informative.

автор: Qiusi L

29 мая 2019 г.

excellent course!

автор: 任杰文

17 февр. 2019 г.

It's great for me

автор: Ricardo N d R B

30 дек. 2018 г.

Excellent course!

автор: 朱荣鑫

22 дек. 2018 г.

as good as before

автор: ignacio v

18 сент. 2018 г.

Incredibly useful

автор: Tanuj P

28 авг. 2018 г.

Very good course!

автор: Yue G

23 июля 2018 г.

Very useful tips!

автор: huy n

22 июля 2018 г.

very practical :)

автор: Kunal V

12 июля 2018 г.

brilliant course!

автор: shengyuliu

25 июня 2018 г.

超实用的机器学习迭代优化方法,赞。

автор: Ankit S

17 июня 2018 г.

Good Knowledge :)

автор: Sicen D

5 июня 2018 г.

Very Good Course!

автор: Johnson

11 мар. 2018 г.

Excellent course.

автор: Nguyen C T

12 февр. 2018 г.

Very interesting!

автор: Chang S

7 февр. 2018 г.

Very Good Course!

автор: Lv s

2 янв. 2018 г.

very nice course!

автор: Byung U K

21 окт. 2017 г.

Wonderful course!

автор: Denys F

6 окт. 2017 г.

Очень рекомендую.

автор: Debesh S

14 сент. 2017 г.

Loved it to core.

автор: Muhammad A Z

22 сент. 2020 г.

Very Informative

автор: Minhazul A

21 сент. 2020 г.

very good course

автор: Ricardo J P F

6 сент. 2020 г.

Excellent course

автор: pavankumar p

23 авг. 2020 г.

excellent course

автор: P M

4 авг. 2020 г.

GOOD WORK.......