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

47,793 ratings
5,488 reviews

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

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.

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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2776 - 2800 of 5,451 Reviews for Structuring Machine Learning Projects

By Duong D K

May 14, 2019

Clearly and improve my mind in Machine Learning

By Wang W

Feb 8, 2019

Thers are a lot of useful skill in this course.

By Subrato C

Sep 9, 2018

I never knew I could learn so much from a MOOC.

By Arturo M R

Jul 29, 2018

A "must" in order to become a real ML scientist

By Plusgenie

Jul 28, 2018

전체적으로 Training/Dev/Test를 명확하게 이해할 수 있어서 좋았습니다.

By Jianhong X

Jul 14, 2018

I find this one most helpful among all, really.

By Youssef Z

Jul 12, 2018

Thank you for your efforts , really nice job :D

By akash

May 29, 2018

I have not seen these materials anywhere else.

By Paulo V

May 11, 2018

Great practical insights taught in this course.

By Steven M

Mar 25, 2018

Amazing work of the team again!

By Neeraj

Mar 2, 2018

The best practical lessons so far on the topic.

By Ankur G

Dec 27, 2017

Very good for practitioners and industry users.

By Yacoub S

Oct 28, 2017

Awesome course! Thanks once again Dr. Andrew :)

By Gowri S

Sep 23, 2017

Little bit difficult compare to first 2 course.

By Andrey S

Sep 9, 2017

Great course on the strategy about ML projects!

By HJ.Lee

Aug 19, 2017

Very helpful for DL Projects

#Empirical #Applied

By Ishant k

Dec 21, 2020

learn about planning and model error analysis.

By Shahriar M S

Oct 28, 2020

Very effective course learn many new concepts.


Aug 17, 2020

A great course.. I loved the case study part..


Jul 31, 2020

Loved the course and gained valuable insights.

By ehsan

Jul 15, 2020

the most helpful course of this specialization


Jun 4, 2020

Really I learned many new concepts. Thank you.


May 24, 2020

Excellent. Transmission of a large experience.

By eon t

Mar 7, 2020

great. learned a lot. very concise and helpful

By 曾湘

Nov 25, 2019

very good structure of deep learning practice.