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

4.8
stars
49,925 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

TG

Dec 1, 2020

I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.

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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1226 - 1250 of 5,724 Reviews for Structuring Machine Learning Projects

By Onur A

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Jan 27, 2019

This course gives the strategies that can be applied to various learning problems. The quiz scenarios are also very instructive

By Lakshmi N S

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Jan 22, 2019

Thank you for clarifying on how to start working on a problem statement, how to approach and how to see the requirement itself.

By Rishabh J

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Nov 18, 2018

Great insights given by this course. I encourage other to take this course and learn to see the big picture of deep learning :)

By Ramya N A

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Jun 11, 2018

A clear guidance how/not to address Machine Learning Problems with a good variety of AI applications and case studies to solve.

By Miguel l

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Apr 20, 2018

Very good course to understand the problems we might face when dealing/developing a machine learning systems in the real world.

By Carlos S

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Apr 12, 2018

Although there is not a programming assignment, it is a must if you want to actually know how to attack a deep learning problem

By Vansh

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Jul 3, 2023

fantastic course, I got an insight into how a machine learning project is built and what decisions are made during development

By Julya

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Jan 16, 2022

some challenges i've found in real project, I found the recommendation to solve them from this course. thank you Andrew & team

By Mikko S

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Feb 27, 2021

Really useful and practical course! The course gave lots of practical advice on how to run efficiently deep learning projects.

By Anuj K S

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Apr 11, 2020

Nice one to understand where to start and all parameter to keep in mind while design any Deep Learning Applications. Thank you

By Thiago G M

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Dec 22, 2019

O curso é muito didático e consegue passar os principais conhecimentos sobre Deep Learning de forma direta, concisa e precisa.

By Asaduddin A Z

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May 2, 2019

This is a great additional course for everyone to structure machine learning until production, Andrew's advice is very useful.

By Claudio C

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Feb 18, 2019

I think this is great at any level of expertise. It makes people aware of design methodologies which are not always intuitive.

By ANUSHKA A

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Jan 16, 2019

Highly recommended. One of the rare courses which train you for real challenges you face in handling any Data Science project.

By Gary W

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May 31, 2018

Very practical cases is really helpful me to understand ML deeply from this course. I like them.

Thanks Andrew and your team!!!

By Baurjan S

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Jan 27, 2018

This one was a bit more bumpy, but still well structured. Will need to go over it once again, when done with the whole course.

By Omair M K

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Dec 24, 2017

Very practical advice that I can definitely apply in real-life machine learning projects on the job or even on hobby projects.

By PRAHARSH K S

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Nov 8, 2017

Machine Learning flight simulator is a really good way to give hands on experience on approach towards practical ML projects..

By Eric M

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Aug 24, 2017

A short course, but chock full of practical advice on what to do & what to avoid when working on ML problems. I learned a lot.

By Jennifer R

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Nov 13, 2020

This course really helped me contextualize all the tools and skills I developed in the first two courses of this certificate.

By Vishnu N

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Aug 24, 2020

I learned more about how to look into deep learning problems and work more in this field.

Thank you Andrew Ng for this course.

By Diego I B H

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Jul 13, 2020

It was an excellent course, I learned about a lot of things that are not given in the university so this course was so useful

By Oscar M M C

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Jun 29, 2020

I really like this course, getting involved into a real world situation makes you learn faster and with more visual examples.

By Catherine G

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Jan 10, 2020

Great course! I learned so much in such a short time. The things I learned in this course have not been taught anywhere else.

By Ventseslav V

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Jan 1, 2020

Prof Andrew Ng is sharing wisdom, thanks so much for the openness.

This is something that some may consider trade secret or IP