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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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2126 - 2150 of 5,721 Reviews for Structuring Machine Learning Projects

By George S

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Jul 2, 2022

Excellent, helps me learn to systematically analyze a deep learning project.

By ESMAT H Z

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Apr 24, 2022

Perfect!!! Thank you very much for providing me with such a valuable course.

By Maya S

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Sep 5, 2020

An amazing course! well taught and with great explanations

Thank you very much

By Miguel A C F

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Aug 4, 2020

It's a nice course, I learned a lot of important tips to apply in ML projects

By Tiago W

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Aug 4, 2020

This course is very relevant both for newcomers and for the more experienced!

By PRASHANT M

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Jul 23, 2020

A must-do course after learning the basic implementation of Machine Learning.

By Manoj T

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Jul 7, 2020

It was so nice to get the idea of how to manage the Machine Learning Project.

By Sai G B A

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May 1, 2020

This course thought me hoe to sequence a ML model. I really like this course.

By AUFFRET G

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Apr 24, 2020

Great practical information and first hand feedback on ML project management.

By Ilya K

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Apr 16, 2020

Some additional insights on how to approach real-life cases in deep learning.

By Juan P J A

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Mar 21, 2020

Very practical advice that can be readily applied to take every day decisions

By Nitish S

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Oct 18, 2019

Got useful insights on how to approach solving a problem using deep learning.

By CluePoints S

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Jul 10, 2019

I learned some much interesting stuff ! The best Deep Learning course I took.

By Ismael B

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Jul 8, 2019

Wonderful tips and tricks to bring the theory into production! Thanks Andrew!

By Karel N N

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Apr 5, 2019

Excellent courses, and a great teacher! Best regards and thank you very much!

By K. S

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Feb 19, 2019

Explained the nuances of Deep Learning that is hard to get from other sources

By Fernando E L M

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Oct 18, 2018

Very important topic for DL design, a lot of interesting content and samples.

By Anil K N

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Jun 26, 2018

Awesome course, learnt a lot from this and try to do something new of my own.

By Ertu S

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May 20, 2018

I've enjoyed flight simulation exercises: very useful for practical purposes.

By futoshi k

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May 3, 2018

This course is very useful to understand strategi for Deep Learning projects.

By Halley W

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Mar 20, 2018

Very informative. Great tools to use for when you're fine tuning your models!

By Jeff

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Feb 14, 2018

Excellent course on improving your data sets and what to do with your errors.

By Tega E

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Dec 28, 2017

Very well structured course.

Also very helpful when applying machine learning

By Abhinava K

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Nov 17, 2017

Very practical content. Essential to strategically target a data opportunity.

By Frey M

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Nov 15, 2017

Very practical course for people with some knowledge of AI and Deep Learning.