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

4.8
stars
49,661 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

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!).

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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2751 - 2775 of 5,692 Reviews for Structuring Machine Learning Projects

By Jack B

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Sep 21, 2017

enjoyed the simulators that used real world examples.

By yash a

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Sep 18, 2017

Very crisp and systematic concepts.Hats off M.Ng Sir!

By Dave P

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Sep 15, 2017

Very much enjoying each aspect of this specialization

By Goh Z Y

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Sep 15, 2017

Very practical knowledge gain on handling AI projects

By Lyle T

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Sep 14, 2017

Excellent practical insights for real-world scenarios

By Shaoduo X

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Sep 11, 2017

Nice starter for understanding some "macro" concepts.

By Liekens W

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Aug 29, 2017

Nice overview on how to ML projects can be structered

By Samuel E

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Aug 28, 2017

Some useful insights collected together in one place!

By ZEEN L

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Aug 28, 2017

Very helpful, especially for those who just graduated

By Ouakeli B

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Jan 5, 2023

This lecture share much experience and good skills.\

By Tuan N

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Jul 16, 2022

i can gain so many insights about ML in this course.

By Camilo C V

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Aug 10, 2020

very useful to better plan machine learning problems

By Rekha R

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Jun 6, 2020

Very good for Analyzing and Structuring ML projects.

By prarabdh r 1

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Apr 29, 2020

nice experience sharing.. helped a lot in my project

By Deleted A

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Apr 14, 2020

Great course. It helped me a lot, Thank you Coursera

By ding x

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Mar 21, 2020

Thanks very much, Iam happy to learn helpful skills.

By Kees v d T

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Feb 20, 2020

Very usefull for stucuring machine learning projects

By 홍진우

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Dec 7, 2019

지금까지 들은 세 강의중에 최고의 강의였습니다. 실무에 많은 적용을 할 수 있을 것 같습니다.

By Tamás K

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Aug 5, 2019

Great material, for me it was too verbose in places.

By PK M

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Jan 8, 2019

Great insights on real-life problems faces with NNs.

By Andrei V

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Aug 24, 2018

Great way to get a glimpse of a researcher's work :)

By Mirzodaler M

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Apr 30, 2018

Very interesting, useful and helpful course. Thanks!

By afshin m

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Feb 6, 2018

Excellent information, most useful during a project.

By Manuel Q

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Dec 28, 2017

Brilliant course as all Andrew NG courses use to be.