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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: 45,248
Рецензии: 5,150

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

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:

4551–4575 из 5,094 отзывов о курсе Structuring Machine Learning Projects

автор: Mohit K

29 июня 2018 г.

Superbly discussed practical problems in the field of ML and DL.

автор: Ch N

11 сент. 2017 г.

A programming assignment could be included to learn more better.

автор: Raimondo M

7 апр. 2020 г.

I would have liked some Python assignments on Transfer Learning

автор: Hamzah A

7 сент. 2019 г.

It would be better to have some hands on assignment or quizzes.

автор: Mehmet N

3 янв. 2019 г.

Some questions/answers of the quizzes were not accurate enough.

автор: Erik B

4 мая 2018 г.

Provides a more scientific approach into hyperparameter tuning.

автор: Qihang S

25 мар. 2018 г.

I hope that in Course 3 there are some programming assignments.

автор: Ashwani K

27 апр. 2020 г.

Nicely explained the concepts and importance of error analysis

автор: Su L

15 мар. 2020 г.

Volumns of different vedios are different. Some are too small.

автор: Yue Z

23 февр. 2020 г.

complementary material for the book "machine learning yarning"

автор: Pankaj R

12 мар. 2018 г.

Lot of theory was their. Good but felt asleep after some time.

автор: Wenhai Z

27 нояб. 2017 г.

I would wish there were more programming practice assignments.

автор: Kyle H

22 окт. 2017 г.

Contained all good content, there just wasn't very much of it.

автор: Daniel A L G

21 сент. 2020 г.

The course is so useful, but sometimes the voice turns so low

автор: Paweł P

11 окт. 2019 г.

Good overview of the problems occuring while training models.

автор: Sathiraju E

25 мая 2019 г.

Thank you, Andrew.

This course was very helpful though theory.

автор: Daniel Z

14 авг. 2018 г.

Good course. It would be better with programming assignments.

автор: Antonio H

2 июля 2018 г.

I could not do the flight simulator test, it was not working.

автор: Youjiang Y

16 янв. 2018 г.

It will be really nice if there is assignment for this course

автор: Dioselin E B P

13 янв. 2021 г.

It's much information for only a one questionnaire for week!

автор: zhang l

16 мар. 2020 г.

Some of the questions in the quiz set seems a bit confusing.

автор: gayatri h

4 июня 2019 г.

It gives the idea about real life machine learning problems.

автор: David d V

24 мая 2018 г.

It would have been great to add some programming assignments

автор: Jeff G

11 сент. 2017 г.

Good material, just wish it had more "labs" to work through.

автор: Juan C M S

8 июня 2020 г.

In some occasions it's been has a bit redundant information