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Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI

4.8
stars
49,987 ratings

About the Course

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 m...
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Top reviews

ED

Aug 22, 2020

Excellent start for digging into topics that are not taught nowhere else. The author books 'Machine Learning Yearning' is a great next read that goes deeper in some of the aspects, really recommended.

JB

Jul 1, 2020

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!).

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5676 - 5700 of 5,729 Reviews for Structuring Machine Learning Projects

By Benoit D

•

Aug 15, 2017

I have been working in industry for 5 years now and this are not really the problems we encounter in practice.

By Mads E H

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Oct 26, 2017

Not applicable enough. I think you need more tooling around DL before these meta lectures makes sense.

By Dafydd S

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Oct 23, 2017

Had the feeling of a "filler" course although it was interesting to hear about the various challenges

By Alexander V

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Feb 25, 2018

A lot of very common-place suggestions that could just as easily be conveyed in a third of the time.

By Nahuel S R

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Mar 4, 2020

Demasiado contenido teórico sin aplicaciones prácticas reales que permitan consolidar lo aprendido

By Peter E

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May 2, 2018

Too theoretical. It would be good to have some practical (programming) assignments here as well.

By Mohamed E

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Nov 22, 2017

Not much to learn in this course, basic recommendations can be condensed in one or two lectures

By Jordi T A

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Aug 28, 2017

A lot of the content seemed redundant both within the lectures and with the previous courses

By Clement K

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May 11, 2020

Interesting but redundant. It's not worth an entire course, even if it's only two weeks

By Péter D

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Oct 6, 2017

long videos saying actually very little ... disappointment

By Andrey L

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Oct 29, 2017

Quite boring and not so interactive like the first course

By Ali S

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Dec 1, 2024

It would be better if it had coding exercises as well.

By harsh s

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Sep 22, 2020

good but more theoretical course rather than pratical

By Kaarthik S

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May 25, 2020

this is the boring course in the specialization

By Thomas A

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Oct 2, 2019

Can be better, but there's way too much fluff

By Till R

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Mar 2, 2019

Some things are best learned from experience.

By Subhadeep R

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Sep 25, 2018

Frankly I didn't find this to be very useful.

By Hernan F D

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Dec 17, 2019

There is no a lot of content in this course

By Aloys N

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Sep 19, 2019

Missing a bit of practical Python exercises

By Kristjan A

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Sep 23, 2022

This course pales in comparison to MLS.

By Ofer G

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Jul 9, 2019

Pretty basic and not enough practical

By 2k19ec173 s

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Apr 4, 2021

please work on the audio quality

By Agniteja r

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Oct 2, 2019

Useful only for beginners

By Poon M H

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Oct 25, 2024

Bad Connection Handling

By Chaobin Y

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Oct 12, 2017

Too little materials.