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Comentários e feedback de alunos de Structuring Machine Learning Projects da instituição

35,191 classificações
3,679 avaliações

Sobre o curso

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....

Melhores avaliações


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 08, 2018

Going beyond the technical details, this part of the course goes into the high level view on how to direct your efforts in a ML project. Really enjoyable and useful. Thanks for making this available!

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3526 — 3550 de {totalReviews} Avaliações para o Structuring Machine Learning Projects

por Jiheng R Z

Sep 09, 2017

Quite a few errors and ambiguities in the practice problems.

por Zijing Z

Nov 17, 2017

The topics are interesting however the content is off par.

por Daniel D

Sep 04, 2017

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

por Juan A C A

Aug 30, 2017

It would be better if you include programming exercises.

por Abdullah M

Jan 13, 2018

It was hard to keep interested - lost focus many times

por Brandon C

Dec 07, 2018

lacking in the usual engaging programming assignments

por Varun S

Sep 23, 2018

Was expecting more scenarios for real data experience

por Jian Z

Nov 06, 2017


por Bogdan P

Sep 19, 2018

The course is OK, but it lacks programming exercises


Jul 20, 2019

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

por Tzushuan W

Jun 01, 2019

Wordy and too abstract without hands on experience.

por Evgeny S

Apr 05, 2018

I would rather expect a course more like a capstone

por shafkat r

Dec 24, 2019

More programming exercises would have been great

por Beatriz S M

Feb 14, 2018

Very general, I would like to be more specific..

por Mikhail G

Oct 31, 2017

quite short, would be nice to get some practice

por Marco A L H

Sep 24, 2018

not as fun as the other courses of this series

por Manish S

Apr 09, 2018

Content was not enough to create a new course.

por Yan W

Oct 24, 2017

Expect more hand-on code practice or more quiz

por Allan Y

Mar 30, 2018

Should not be a separate course. Too general.

por Adam S

Dec 27, 2017

Some useful insights but not much depth here.

por Ankoor B

Dec 12, 2017

Not much coding. Some lectures were rushed.

por Qu S

Nov 18, 2018


por Liam A

Jun 15, 2019

Kinda boring, but still pretty practical.

por anh n

Dec 30, 2017

The concepts are difficult to understand

por Nicolas

Jul 09, 2019

not as interesting as the other courses