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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.

AM

Nov 22, 2017

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

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2051 - 2075 of 5,724 Reviews for Structuring Machine Learning Projects

By VIKAS K

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May 29, 2020

Good hands - on experience using case study. Really nice and easy to understand.

By ravi k

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Feb 29, 2020

Very useful in the implementation level...and the explanation is also very clear

By Piyush K B

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Feb 4, 2020

Awesome techniques taught by Andrew Ng. Found myself lucky to find such a tutor.

By Ralph T

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Sep 12, 2019

could be a little slow at time as its mostly video content notes, but still good

By Srinivas C

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Jul 28, 2019

This course material serves as the checklist for projects, very useful material.

By Aparup B

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Apr 6, 2019

By far the best of this series. These kind of accumulated lessons are very rare.

By Albert H S

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Mar 16, 2019

very useful and practical and is a good makeup for what is learned in textbooks

By Madhukar R

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Dec 8, 2018

Helped a lot to understand the project structuring as professional's perspective

By Elise Z

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Sep 23, 2018

Very informative, highly resourceful. I will probably visit back for suggestions

By Ilias P

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Sep 6, 2018

This is the easiest, untill now, from the first 3 courses of the specialization.

By Nikhil J

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Jun 26, 2018

its really very important course for optimization in real life practice problems

By Shovan R S

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May 18, 2018

I really liked the case studies as it helped understand the real world scenarios

By Emanuele P

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Feb 12, 2018

Essential framework for those whom require a solid base to structure ML projects

By 鄭伃璇

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Dec 27, 2017

Very good course to have more technical sense on how to use machine learning :)

By Mohamed A A

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Dec 10, 2017

It's really great course. gave me new way of thinking when starting DL Projects.

By Huynh L D

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Nov 17, 2017

can't wait for the 5th course to come out so i can complete this awesome series!

By Hagen T

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Nov 15, 2017

great, but unfortunately not enough opportunities to practise the new knowledge.

By Nicola P

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Nov 13, 2017

High level course with a lot of insight into the machine learning project design

By Bardia S

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Oct 18, 2017

I likes it very much. Specially the flight simulator approache ist very usefull.

By Ling J

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Sep 21, 2017

This is the most challenge and useful chapter in this who specialization course.

By Saravanan M

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Sep 17, 2017

Very critical knowledge required to manage DL projects well, thanks a lot Andrew

By Fabrice L

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Aug 15, 2017

New interesting views on practical issues in artificial neural networks projects

By Yash R

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Jan 19, 2022

Excellent course as other courses in this specialisation. I learned quite alot.

By Suvojeet D

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Aug 26, 2021

Great course tp handle various situations while doing machine learning projects

By Yubraj S

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Sep 15, 2020

I had a great learning experience and especially I like the case study section.