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

4.8
stars
49,895 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.

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.

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1701 - 1725 of 5,719 Reviews for Structuring Machine Learning Projects

By Henry V

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Oct 9, 2017

Very good, useful, and important high-level summary on how to approach and structure ML projects.

By Prakash C C

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Sep 23, 2017

First time i have learnt such practical aspects of ML which are very important for live projects.

By Daisuke N

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Aug 19, 2017

Great practical course, it helps so so so much! I can save a lot of my time. Thank you very much!

By ZaRX 1

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Jun 4, 2023

Each topic has been covered in depth and with clarity. Thank you for this specialization course.

By Mohammad R A

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Jan 30, 2023

this course better have programming assignment

programming assignment is to helpful for learning

By Felipe L

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Dec 18, 2020

Great course for those who are unsure how to proceed while working on a machine learning project

By mahdi g

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Aug 14, 2020

I learned a lot of important tips from this course that would help me in real-world ML projects.

By Jose I L

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Jul 21, 2020

I specially loved the Peace case of study because I hate birds, so it was very motivating to me.

By IT-092-Deep M P

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Jun 30, 2020

Very important course. Thanks to all teachers. The course is designed well so we can learn fast.

By Andrés E F C

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May 15, 2020

Very good course to understand the process of building a Machine Learning/Deep Learning project!

By Shahab M

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Mar 4, 2020

Excellent practical strategies for real-life scenarios. Any ML engineer should take this course.

By Jorge B

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Apr 15, 2019

Great content on how to tune and adjust your neural networks for a proper deep learning solution

By Zahid S

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Mar 23, 2019

A good course to go through the main perspectives about machine learning projects. Helped a lot.

By Suresh S

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Nov 22, 2018

This course is as equally important as understanding the nuts and bolts of the algorithm proper.

By Tejashwi S

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Jun 19, 2018

This course was an amazing learning experience for me and thanks to Mr. Andrew , he is the best.

By Jiahao Z

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Apr 19, 2018

Thanks for sharing this valuable experience for tuning machine learning projects. Realy helpful!

By Colby H

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Mar 19, 2018

Good high level insights to making your thought processes more efficient to not waste man hours.

By David B

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Oct 11, 2017

Invaluable insights from the point of view of a ML practitioner. Easy to understand. Priceless.

By PeiSheng S

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Sep 14, 2017

Some videos contain black screens, but the course is very good. Looking forward to the last two.

By krittin p

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Aug 26, 2017

This course is invaluable. very successful to share years of experiences. Thank you very much :)

By Manh T

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Aug 27, 2024

Although this course focuses mainly on theory, it's good guidance for an ML project. I love it!

By Indiwara N

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Oct 28, 2023

This is an excellent course to learn new tips and tricks on how to handle a ML project. Thanks!

By Nikos K

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May 15, 2021

Great course! It would be perfect to add some hands-on practice with transfer learning as well!

By Mansurbek A

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Feb 27, 2021

Very informative course. One can gain very important skill regarding management of ML projects.

By Parth M

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Jul 31, 2020

Very theoretical but important.

could have added some practical exercises on confusion matrix.