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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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5526 - 5550 of 5,729 Reviews for Structuring Machine Learning Projects

By Deleted A

Aug 27, 2017

Some material is trivial. Some quiz questions are ambiguous, or have nonsensical answers.

By Vitor A B

Feb 22, 2018

There's no programming exercises.

Pehaps one for hyper parameter tuning would be nice.

By Deleted A

Oct 2, 2017

I was expecting more on tensorflow as well as technical work on error corrections.

By Marc S

Apr 18, 2021

Too much reading and note taking comparing to application of the topics discussed

By Gabriele G

May 24, 2020

I wish there was a programming assignment in this course instead of only quizzes.

By jie y

Apr 2, 2018

It's better to have designed projects to show how to solve these specific issues.

By Diego P

Jul 12, 2019

Videos are quite long. Good course although a bit heavier than the previous ones

By Marco L S

Nov 28, 2019

Useful but not that much for assigning to those topics a course of their own.

By Flavius S N

May 17, 2018

First week is a little bit boring for those that did Machine Learning course.

By Scott S

Feb 10, 2018

A good course though some programming exercises would have made this better.

By Duncan “ M

Nov 19, 2017

I like coding projects and hands on material, this was heavy on the videos

By Milton R

May 28, 2020

The Course would be bit more Interesting if it some programming insight.

By Rohan K

Feb 1, 2019

Seemed lots of similar information which was covered in previous courses

By Greg H

Sep 15, 2017

It would be better if we could try coding and experimenting these ideas.

By Pranav N

Dec 23, 2021

There could have been some programming assignments in this course too.

By Joshua P J

Jun 23, 2018

I fear this material won't challenge many learners. Feels like review.

By Potnuru A

Jun 22, 2018

No practise sessions, just theory unlike others in this specialization

By Moustafa M

Dec 22, 2017

No details about some implementations how to implement this techniques

By ANAND P

May 30, 2020

It was awesome but not one of the best courses in the specialization!

By David F

Sep 22, 2017

Good insights, but not much material and no programming assignments.

By Ondrej S

Jul 21, 2021

Usefull but only theorethical course without practical excercises.

By Siddhesh

Nov 3, 2017

It was rather disappointing because it didn't meet my expectations.

By Sébastien C

Aug 6, 2020

Covers interesting concepts at length. Videos could be shortened.

By Lambert R

Apr 16, 2018

Dommage qu'il n'y ait pas de TP dans ce cours (seulement 2 quizz)

By Mike T

Jul 24, 2018

I wished there were exercises besides the quizzes in this course