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

4.8
stars
50,134 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

PD

Feb 24, 2020

Generally, the course is great. This is a short course and could be combined with other courses in this series. Also, some knowledge such as data splitting has been introduced in the courses before.

EM

Jul 7, 2020

I think this is the best way of understanding the models we build and train. Now I can understand where are the errors are coming from and how to focus and choose an error rate problem to solve.

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3051 - 3075 of 5,748 Reviews for Structuring Machine Learning Projects

By VIPIN K

•

Feb 16, 2023

Thank you so much for such a nice course.

By esmaeil k

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Jun 5, 2022

it was very useful and an applied course.

By Rúben A A S

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Mar 21, 2021

Good basic introduction to understand ML.

By Prashant A

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Nov 1, 2020

Great Insights into Unsupervised Learning

By Julia L

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Oct 26, 2020

Thank you Andrew for an excellent course!

By Shiva I

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Sep 15, 2020

This is such a good course. Thanks Andrew

By Sanjoy P

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Aug 14, 2020

Very Helpful course. Thank you. Make more

By Julian S V

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Aug 4, 2020

Nice content, and very interesting topics

By Adams A

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Jan 11, 2020

spot on on processes for ML applications.

By RAVIKUMAR S

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Oct 14, 2019

Very Good Training and its really useful.

By Dilok P

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Sep 7, 2019

Many useful trip and trick for ML project

By 周健航

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Jan 27, 2019

Very useful for deep learning engineering

By SW J

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Jan 9, 2019

It's very helpfull.. thank you very much.

By Estapraq M K

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May 21, 2018

It is hard but I learnt A LOT! Thank you!

By Manish Y

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Jan 8, 2018

Easy to finish, simulator quiz were good.

By artprog

•

Dec 1, 2017

Very awesome!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

By Muhammed B

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Nov 24, 2017

Great man , Great specialization course .

By Ainun N

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Oct 29, 2017

Very practical advices from the trenches.

By Jessie C

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Oct 24, 2017

Very insight and great course. Very nice!

By Liqun Y

•

Oct 2, 2017

Very helpful for improving data intuition

By Yixing Z

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Sep 22, 2017

very helpful! thanks Andrew and your team

By Tibor V

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Aug 27, 2017

Most useful course on deep learning ever.

By Changlin Z

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Aug 25, 2017

Thanks a lot. Andrew. Really appreaciate.

By Benjamin S

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Aug 22, 2017

Very good course, even that it was short!

By Arthur C

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Aug 20, 2017

Most insightful course within the series.