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

4.8
stars
49,907 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 many deep learning products. If you aspire to become a technical leader who can set the direction for an AI team, this course provides the "industry experience" that you might otherwise get only after years of ML work experience. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

AM

Nov 22, 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.

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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5701 - 5721 of 5,721 Reviews for Structuring Machine Learning Projects

By S. H

•

Aug 19, 2024

Coursera refuses to issue the specialisation certificate even though I spent over 300 euros and completed all courses. If I was told this beforehand, I would not spend anything on the course. The customer support team has not been helpful.

By NATHAN W

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May 3, 2021

extremely overgeneralized with no information on how to apply any of these concepts to an industry application. No manufacturing facility birdwatches as a source of income.

By Sergey A

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Dec 1, 2017

Extremely boring course without any practice. All the topics explained could be summarized on a dozen of pages which are obviously much easier and faster to read.

By Gianluca M

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Mar 16, 2018

What is this doing here? Just useless. No science, only insights that would be valuable were they not already given in the other courses of the specialization.

By Anshu V J

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Jun 27, 2018

I missed the programming assignments :-(May be it wasnt worth having this entirely as a separate course.It could have been combined with previous 2 courses.

By Rafal J

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Oct 2, 2017

Don't understand why there's no way to pause the subscription while waiting for the next course to start.

By omer b

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Oct 22, 2020

THis course didnt gave a lot of insight, instead it was probably there to fill up the time.

By yue126

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Sep 14, 2017

this course is very useless. Learned little about deep learning in this course

By Mohammad M R

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Jan 3, 2018

I cannot save the quiz ,in non paid mode - why?

By Felix F

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Dec 19, 2017

giving low grade for ongoing delays of course 5

By Tung-Ting Y

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Oct 2, 2017

Volume is too low. Class content is not much.

By Rajath R

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Nov 30, 2020

I did not like the course content .

By Daniel A M R

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Oct 2, 2024

purtroppo non si può mettere zero.

By Aleksandr A

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Aug 18, 2017

Slow, boring and totally useless

By Milica M

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May 10, 2020

boring and uninformative

By Maisam S W

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Oct 26, 2017

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By PATEL H S

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May 16, 2020

not good as other

By Qiushi H

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Feb 15, 2019

not quite useful

By Vincent B

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Oct 6, 2019

Useless I guess

By Pavel B

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Jan 5, 2019

too easy

By SRUTHI P N

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Jun 4, 2020

good