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

4.8
stars
49,877 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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1376 - 1400 of 5,718 Reviews for Structuring Machine Learning Projects

By Javier O

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Nov 25, 2018

Very important common practices in ML, especially the tips of error analysis and ways to solve very common problems.

By Ashley C A

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Apr 24, 2018

Very interesting course. Excellent tools and tips on how to guide your deep learning development.

Useful information.

By JiChen

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Sep 20, 2017

It's a great course for new comers to learn much about how to start a ML project, as well as some great strategies.

By Santiago F G

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Aug 31, 2017

Superb course!! The materials are very new, directly coming from the vast knowledge and great honesty of Andrew Ng.

By kaleem u

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Feb 11, 2023

It's a knowledge-worth course that has helped me understand project management and structuring in machine learning.

By Sarvjeet S

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Aug 27, 2022

Amazing Course. Strongly recomended if you want to persue a carrer in data science/artificial intelligence domain.

By Sanchit V P

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Nov 30, 2021

This course covers possible problems that you would encounter while working on any DL project, and their solutions.

By Shao Y

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Feb 7, 2021

Very helpful strategy to tackle machine learning projects. The contents are easy and clear to understand as always!

By DANIEL F C C

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Nov 11, 2020

Perhaps the best course in the series, I'll definitely be coming back to further explore the ideas or as reference.

By Aditya M

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Sep 6, 2020

it was a great course, all the concepts were explained with good examples. great quizzes to test one's learnings :)

By Aaron H

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Jun 16, 2020

Really excellent course. Definitely opened my eyes to a more strategic and systematic approach to machine learning.

By Jonathan M

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May 12, 2020

Gives a lot of practical advice that helps one understand how to apply the concepts that were presented previously.

By P S P 4 B E E

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Mar 28, 2020

The course was full of knowledge and resources such as the quizz. Andrew Ng Sir teaching and examples were awesome.

By Mohammad H Z H

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Mar 25, 2020

From this course, I have learned unique techniques to handle my own future projects. Thanks to Andrew and Coursera.

By Mr.Doctor

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Oct 6, 2019

Excellent mature route while starting a real deep learning projecte, Adrew's rich experience can really help a lot.

By Joshua G

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Apr 29, 2019

Amazing course cover not-to-common concepts that will save you innumerable hours in your machine learning projects.

By Tuo W

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Mar 29, 2019

It is highly recommended, and you can have a clear and broad-view of how to organize and manage a mature DL project

By Pedro H

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Dec 6, 2018

Good compilation of tricks to improve efficiency when developing, training and testing your deep learning projects.

By Felton Y

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Nov 30, 2018

Giving me much intuition about the stratege and ideas in ML.I think that will be very useful for me in the future.

By Kamal S

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Mar 24, 2018

This Course looked less important from the outside. Surprisingly gave me new ideas and cleared many misconceptions.

By Shaik A

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Feb 14, 2018

Very useful information. This course gave a chance to understand organize the neural networks and machine learning.

By Abin M A

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Feb 5, 2018

Very useful for beginners as this course explains many practical aspects techniques to approach real world problem.

By Karl H

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Feb 4, 2018

Very informative course. It would have been nice if there was an assignment on an application of transfer learning.

By Iman K

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Nov 20, 2017

best ML course. Hopefully we see more courses like this

. Maybe for specific problems or tools like tensorflow etc.

By Hamza A

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Aug 22, 2017

If you learn how to improve your machine learning applications efficiently, I highly recommend this course for you.