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

4.8
stars
49,809 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

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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

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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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2001 - 2025 of 5,708 Reviews for Structuring Machine Learning Projects

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...!!

By Sun J

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Aug 25, 2017

I learned some good of machine learning strategies where the textbook cannot tell.

By Douglas M

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Mar 29, 2024

Lots of good background information and how things are done in the real ML world.

By CVA V T T N

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Jan 30, 2023

Unique homeworks, unique knowledge. So valuable. Easy to learn but hard to master

By Eyal M

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Jan 22, 2022

Good and relitevily easy course compared to the other ones on the specialization.

By Rahul K

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Mar 7, 2021

Really liked the content. This type of content I didn't find in any other course.

By xie

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Jan 6, 2021

I am really excited to learn a lot of about machine learning project strategies.

By Peter M

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Dec 30, 2020

I love the case study because it lets me reflect on the decisions I have to make.

By Gunjan M

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Nov 16, 2020

I enjoyed it. These things aren't explicitly taught, so had fun doing this course

By Chad I

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Sep 22, 2020

I enjoyed this short course. These concepts and ideas cannot be reinforced enough

By Abdelrahman D

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Aug 7, 2020

Great course, learned a lot about the Software Engineering aspects of ML from it.

By Seyed M A T G

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Apr 27, 2020

Awesome and realistic case studies in Machine learning and Deep Learning projects

By Sayali S

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Apr 10, 2020

Really helpful when starting with a new ML project and moving forward when stuck.

By Bảo L H

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Apr 1, 2020

Thank you so much for all the useful information,

Mr. Andrew Ng and co-workers!

By Jordi A C

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Feb 25, 2020

It helped me to get new tools and guidance to find the path to build best models.

By 储黄瑞

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Feb 21, 2020

i am so glad that i am a DKU student so that i can listen to such a great course!

By Victor M

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Nov 9, 2019

Really liked this course. I learn tips and tricks to get a successful ML project.

By Emory F

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Oct 22, 2019

Amazing to see how complex the decision to create the model in real cases can ben