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

4.8
stars
49,982 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

MG

Mar 30, 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.

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.

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5251 - 5275 of 5,729 Reviews for Structuring Machine Learning Projects

By Xinwei

•

Nov 6, 2017

this is a very practical course.

By Rutuja B

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Aug 12, 2020

Great course! Best instructor!!

By Harold P

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Jul 2, 2019

Could have been shorter videos.

By Vinay M

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Sep 10, 2018

Though brief but really useful.

By Michael B

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Feb 23, 2020

Good concepts, but subjective.

By Michael C

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May 23, 2018

Very good experience sharing!!

By Jens R

•

Nov 19, 2017

Very informative and relevant.

By Ajay P

•

Sep 27, 2017

good theoretical course on ml.

By Nicolas M

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Jun 22, 2021

No practice coding at all...?

By Benoit D

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Jun 16, 2019

Lack of practical assignments

By Davide F

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Apr 20, 2019

Interesting but a bit verbose

By Emanuel G

•

Dec 1, 2018

Quite short, but nice to have

By Şükrü O

•

Sep 5, 2018

A good knowledge extension...

By João P J

•

Oct 15, 2017

Good but not very challenging

By Juan P

•

Aug 2, 2020

Interesting concepts. Thanks

By Tomas S

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Jun 1, 2020

Good Work, maybe more speed.

By Sebastian D

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Sep 12, 2019

Would have liked some coding

By Bhon B

•

Jul 29, 2019

Some errors in video editing

By Thomas W

•

May 9, 2018

Bit fluffy but good content.

By 李想

•

Feb 27, 2018

No programming assignment :(

By 徐衔

•

Dec 16, 2017

more exercise will be better

By Juan A R P

•

May 20, 2022

I wish it had a coding part

By Hemanth R

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Aug 10, 2020

overall a feel-good course.

By Chaitanya M

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Jul 5, 2020

Thanks,you are a great help

By Muhammed M H

•

Sep 8, 2018

Happy to Learning something