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Отзывы учащихся о курсе Structuring Machine Learning Projects от партнера

Оценки: 44,098
Рецензии: 4,967

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


Nov 23, 2017

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.


Mar 31, 2020

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.

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4401–4425 из 4,914 отзывов о курсе Structuring Machine Learning Projects

автор: Daniel A L G

Sep 22, 2020

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

автор: Paweł P

Oct 11, 2019

Good overview of the problems occuring while training models.

автор: Sathiraju E

May 25, 2019

Thank you, Andrew.

This course was very helpful though theory.

автор: Daniel Z

Aug 15, 2018

Good course. It would be better with programming assignments.

автор: Antonio H

Jul 02, 2018

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

автор: Youjiang Y

Jan 16, 2018

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

автор: zhang l

Mar 17, 2020

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

автор: gayatri h

Jun 05, 2019

It gives the idea about real life machine learning problems.

автор: David d V

May 24, 2018

It would have been great to add some programming assignments

автор: Jeff G

Sep 11, 2017

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

автор: Juan C M S

Jun 08, 2020

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

автор: Pranav B

Jan 30, 2020

Good Course for Beginners need more programming assignments

автор: Gil E B

Jul 30, 2019

Good Course to learn production pipelines for practical use

автор: Fereydoon V

Feb 03, 2018

Hope we had programming assignment for this course as well!

автор: Venkatesh N

Jan 04, 2018

Very good course, It should be last course in specilization

автор: Richard M

Oct 14, 2020

Interesting ideas, but not as good structured as course 1.

автор: Pakin S

Nov 28, 2019

Thanks I learn a lot of real world application and problem

автор: Peter K

Mar 23, 2019

강의 후반부 (2주차) 에 강의 속도가 인위적으로 조정된거 같습니다. 속도가 빨라 이질감이 느껴졌습니다.

автор: Akshat A

Feb 23, 2019

Curated content, quite exclusive indeed. Respect to Dr. Ng

автор: Joseph C

Apr 10, 2018

Needs programming exercises to help firm up the new ideas.


Mar 20, 2018

Completely new of what it is out there. Well done Andrew!!

автор: Alejandro R V

Jan 08, 2018

Not as interesting as the others, I personally prefer math

автор: Gopala V

Oct 24, 2017

Gave some ideas on mismatched data and how to address them

автор: Akshita J

Apr 23, 2020

An assignment could have been included to let practically

автор: Roberto J

Oct 19, 2017

A bit dry, would love to see some more concrete examples.