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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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1401 - 1425 of 5,718 Reviews for Structuring Machine Learning Projects

By claudia i r m

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Aug 28, 2022

A wonderful learning experience with great pedagogy and incredible concepts, applied through the labs and quizzes.

By kleber l

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Feb 15, 2021

This course although isn't code, it is useful, because, now I can guide my project towards a better path directed.

By Matthew N

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Feb 10, 2021

Andrew Ng is an awesome instructor on a very complex topic such as optimization and assessing models' performance.

By B V S A

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Aug 13, 2020

This is the most practical and well explained course on Deep learning implementation that I have ever come across.

By Dawood I

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Jun 9, 2020

Absolutely brilliant. What people learn after working on deep learning for years, Andrew taught us in this course.

By Manmohan K

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Jun 5, 2020

Gained good insight into the practical aspects of DL through this course and how to go about doing Error Analysis.

By Lakshya J

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Jun 2, 2020

Very practical and insightful course. I am sure these concepts will really help me when building my own ML systems

By Taiki O

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May 3, 2020

That was clear! However, some videos was ill-paced or I guess there was something wrong with the speed of videos.

By Hind A b

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Mar 7, 2020

very sightful course, i learned how to work on machine learning projects and how to analyse errors in development.

By Renato L R

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Jan 9, 2020

Very useful training that provides additional insights for a better plan and result's analysis of your ML projects

By Igor _

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Sep 12, 2019

This was the most useful course from the first three courses in this specialty; looking forward what will be next

By Rongyao W

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Aug 18, 2019

Great hands on experience with deep learning. It surely help a lot for building insight what deep learning can do.

By Jason D

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Aug 10, 2019

Good course to build up your knowledge on how to go about structuring machine learning projects in the real world.

By Hiren K

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Jul 29, 2019

Very interesting and informative course. Professor Ng was quite good at teaching complex phenomena in an easy way.

By Jonathan M

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Jul 25, 2019

Great course that shows you many different concepts and how you can approach different problems you may encounter.

By Paul H C

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Oct 8, 2018

This is so useful!!! I know now what to do when I blocked: keep iterating: start quickly and iterate until success

By David B

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Sep 9, 2018

Invaluable if you are implementing a project, which is, I guess, what we must do to fully understand the concepts.

By Leon G

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Jul 1, 2018

Abundant practical, industrial-level advice on ML projects and their improvements. Awesome course, awesome Andrew.

By Rodolfo C

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Apr 7, 2018

Good review of the machine learning mentality and how things can be simplified when using this kind of strategies.

By 林胜义

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Dec 17, 2017

You will get a lot of practical and useful advice from this course for building a applied machine learning system.

By Chandra P

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Dec 3, 2017

Perfectly explained many analysis oriented steps to take while trying to optimise a Machine / Deep Learning Model.

By 罗锟

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Oct 21, 2017

The course is awesome! i do love the Pro.Andrew ! Thank u so much, Andrew, i have learned a lot from this project

By Raul I R G

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Oct 18, 2017

I found the material provided in this course very important on how to have insights when dealing with ML projects.

By Hussein M

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Sep 22, 2017

It is very interesting course . It is an amazing course for explaining the concepts of design deep learning models

By Aldian F

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Sep 17, 2017

Amazing overview of problems you will be facing when developing a machine learning system. Thank you prof. Andrew!