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

4.8
stars
49,903 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.

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.

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3201 - 3225 of 5,721 Reviews for Structuring Machine Learning Projects

By HEMACHANDRAN K

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Aug 17, 2019

good. concepts are clearly explained

By Alex S

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Dec 12, 2018

Valuable insight to ML system design

By cbrom

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Oct 9, 2018

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By Marijan M

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May 11, 2018

Really great Course, learn a lot. :)

By Kiran A

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May 5, 2018

Lots of practical tips. Very useful.

By Bonson S M

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Apr 28, 2018

Nice ideas on managing a ML project.

By Javier G

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Mar 15, 2018

Very useful course. 100% recommended

By ChenHang

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Mar 1, 2018

非常有帮助，不过这门课主要是针对工程实践方面的指导。但依然有很多启发！！

By Nathaniel, Z W

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Feb 28, 2018

Very helpful to my current projects.

By Deleted A

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Jan 7, 2018

Superb Course. Highly recommended :)

By Tony Z

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Dec 31, 2017

excellent course and ideas presented

By Wang F

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Nov 18, 2017

valuable experience for development.

By Rangarajan C

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Oct 22, 2017

Very useful to me as a practitioner.

By liu c

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Oct 18, 2017

very good teacher, very good lecture

By 席齐

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Sep 16, 2017

Very good content, Thank you Andrew.

By Sanjiv R

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Sep 13, 2017

Transfer learning from Andrew Ng :-)

By Liam Y

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Sep 1, 2017

very useful class, thank you Andrew!

By Shuja U R T

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Jun 11, 2022

A much needed course, great teacher

By Rodrigo

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Dec 21, 2020

the favourite of the series so far.

By Thomas F

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Nov 11, 2020

Very useful, practical information!

By Abdillah F

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Nov 11, 2020

Nice and very comprehensive course.

By Anton B

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Nov 6, 2020

Very usefull course!! Thanks a lot!

By Carlo B

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Oct 28, 2020

Nice coruse, very compact and clear

By Sanket K

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Oct 15, 2020

Excellent and well organized Course

By Neetima G

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Oct 11, 2020

INteresting and very helpful course