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

4.8
stars
49,936 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

ED

Aug 22, 2020

Excellent start for digging into topics that are not taught nowhere else. The author books 'Machine Learning Yearning' is a great next read that goes deeper in some of the aspects, really recommended.

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.

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2151 - 2175 of 5,724 Reviews for Structuring Machine Learning Projects

By Frey M

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Nov 15, 2017

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

By Jurica C

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Sep 24, 2017

Very good insight. The best out of first three courses in the specialization.

By Manash M

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Aug 29, 2017

Learnt a lot of things I didn't know even after completing cs231n and cs224d.

By Sarth S

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Feb 2, 2024

Really useful concepts to understand before delving into real world projects

By Muskaan M

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Apr 12, 2021

Good case studies and interviews at the end of each week are very inspiring.

By Temidayo A

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Dec 26, 2020

Useful practical approaches to machine learning projects. Thank you, Andrew!

By Enrique A M

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Sep 5, 2020

Extraordinario curso de deeplearning, vamos por la especializacion, gracias.

By Krishna K

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May 16, 2020

Thanks, Andrew for creating this course. I learned so much during the course

By Murat K

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May 13, 2020

this course s very helpful for administer machine learning project structure

By Victor V

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Mar 18, 2020

Nice to see different ways to re-structure the way I work with ML algorithms

By Kumar S

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Jul 8, 2019

The course was good,will be rally helpful when i start working on a project.

By Ved G

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Jun 1, 2019

This course provides knowledge that is simple yet critical for this subject.

By Emircan K

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May 2, 2019

Learning Andrew Ng's personal experiences is really exceptional and valuable

By Syed A R H

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Apr 15, 2019

The instructor voice was quite low. I couldn't hear him properly many times.

By Alfonsus G C

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Nov 18, 2018

The simulator was a great approach to see what real ML project might be done

By David A

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Nov 16, 2018

Excellent course. One of the best to get you to solving real world problems.

By Bourget R

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Oct 5, 2018

Very good lesson well explained good practices to have a structured approach

By Dan L

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Jul 5, 2018

Every point comes from real instances. Appreciate those suggestions so much!

By Dhinesh D

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Apr 14, 2018

Excellent course, these materials are never taught anywhere, brilliant stuff

By Carlos d H

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Apr 9, 2018

Great the insights about the Error strategy conversation and team challenges

By Gaurav D

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Feb 25, 2018

I liked the practical aspects and tips for dealing with real world problems.

By Holger P

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Aug 26, 2017

Great insights on how to prioritize development of a machine learning model.

By Minh K P

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Dec 28, 2022

There are a lot of techniques that I have never been taught at university.

By Elliot S

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Oct 26, 2022

Really great insights into how we can improve and optimize our algorithms.

By Zikun T

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May 29, 2022

Good course, I learnt quite a lot about structuring a deep learning project