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

4.8
stars
49,676 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.

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.

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1976 - 2000 of 5,692 Reviews for Structuring Machine Learning Projects

By Pandya N

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Apr 12, 2018

this course gave me lots of ideas about how to do successful deep learning project.

By Rangaraj S

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Oct 28, 2017

Learned a lot about the practical processes involved in a Machine Learning Project.

By Lorenz B

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Oct 21, 2017

Pretty interesting to know about common issues and how to detect resp. solve those.

By Brian H

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Oct 16, 2017

real life practical project experience which is probably hard to find anywhere else

By Axel S

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Sep 21, 2017

Very detailed overview, of what is important in structuring a deep learning project

By Alexander R

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Sep 6, 2017

Quick and nice way to see proper methods for working on and building correct models

By LI H

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Aug 22, 2017

Good as always. The experience from the expert should be very valuable in practice.

By Maninda W E

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May 20, 2023

A great practical content taught in a very intuitive way within a very short time!

By Mukund E

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Oct 11, 2021

Very informative tips on assessing your initial model and further making progress.

By Zyro K

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Aug 18, 2021

Knowledge Impactful, gives a similar account of dealing with ML in the real world.

By Jorge R O T

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Aug 22, 2020

Very clear insight on how to approach a machine learning project in the real world

By Lien T T

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Jul 31, 2020

Very helpful on how to start my ML project and improve its performance efficiently

By Ashwini S

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Jul 5, 2020

Excellent Course, Thank you so much. Learning from experience teacher is blessing.

By Abhishek R

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Apr 30, 2020

An amazing way of delivering the subject. I whole-heartedly thank the entire team.

By Zoran M

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May 25, 2019

Great course, practical knowledge from experience which is hard to find elsewhere!

By Arjun r

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Jan 20, 2019

Definitely the most practical and useful course in the specialisation. Great work!

By David K

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Jan 19, 2018

Great insights for dealing with real DL Projects. I enjoyed this course very much.

By Taehee J

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Dec 4, 2017

Thanks for explaining for Error analysis and how to split train/dev/test data set.

By Rishabh A

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Nov 30, 2017

The course is nice, provides insights of practicality of machine learning projects

By Jorge P

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Nov 29, 2017

Excelent ! A treasure trove of technical info, tips, gut feeling and data science.

By Christophe K

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Nov 22, 2017

Nice presentation on how to start and drive your deep neural network construction.

By Wessam A

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Oct 26, 2017

excellent hands-on tips and tricks to how to go about different ML and DL problems

By Huaishan Z

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Oct 4, 2017

It's really useful experience for the AI engineers, especially for the fresh ones.

By Alaa A

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Sep 28, 2017

Great course for learning practical decision making for machine learning projects.

By Murali K

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Sep 21, 2017

Great course...must for data scientists and/or machine learning practitioners...!!