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

4.8
stars
50,033 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

WG

Mar 19, 2019

Though it might not seem imminently useful, the course notes I've referred back to the most come from this class. This course is could be summarized as a machine learning master giving useful advice.

MG

Mar 31, 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.

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2976 - 3000 of 5,736 Reviews for Structuring Machine Learning Projects

By Hao Z

•

Sep 15, 2017

Great course to get a lot of practical ideas!

By Keith B

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Sep 11, 2017

helpful perspectives when tackling a project!

By Hemant B

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Sep 8, 2017

very small course , some really good insights

By Samuel C U

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Apr 1, 2023

Beautiful, straight to the point and robust!

By Mohammad M M

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Jun 27, 2022

best practical tips in machine learning area

By Lidong S

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Mar 9, 2022

Very helpful for deep learning system design

By Chinmay I

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Jan 26, 2022

The practical guidelines were very helpful.

By Liang-Yao W

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May 27, 2021

Very useful guide / strategy for ML projects

By Glendon H

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May 12, 2021

Short, valuable, and worth the time. Thanks!

By Lisandro E A

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Nov 17, 2020

Great course! I am sure it will be useful <3

By Christine W

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Nov 14, 2020

Love the interviews at the end of each week!

By Varun K

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Oct 14, 2020

Great course!! Andrew sir is a great teacher

By Rifat R

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May 23, 2020

Professor is too much knowledgeable. Respect

By zios s

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Nov 29, 2019

Great tutoral. and Andrew Ng as always best.

By Sam D

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Feb 13, 2019

Shorter course, but very useful nonetheless.

By 王丹棣

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Jan 23, 2019

Good course for machine learning experience.

By gangadhar a

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Dec 29, 2018

Nice Course- Great Learning . Thanks a lot !

By Aleksa G

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Dec 26, 2018

More amazing work from Andrew Ng, well done!

By omar a r v

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Oct 4, 2018

Excelente, gran idea simuladores de vuelo.!!

By Kaushik J

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Sep 22, 2018

very unique topic has been discussed in it .

By Anna K W

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Aug 15, 2018

I got so much out of this higher level view!

By Serkan Ö

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May 31, 2018

I liked the scenario quizes and the content!

By Salman A

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May 14, 2018

Awesome course with very practical insights!

By Mehmet Y

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Jan 6, 2018

Lots of practical advice. I really loved it.

By Rami P

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Oct 20, 2017

Very good addition to the overall portfolio!