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

4.8
stars
49,903 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

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.

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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1851 - 1875 of 5,721 Reviews for Structuring Machine Learning Projects

By Shriharsha K

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Dec 22, 2018

Lectures were really helpful because they were very inclined towards real world problems.

By Mike R

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Mar 23, 2018

Less technical than other classes in the series, but a good class for rounding out skills

By Deleted A

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Jan 14, 2018

This is an excellent course, it offers tips that can only be achieved through experience.

By Krishna W

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Dec 26, 2017

Great course that gives a feel of what it is to work on a long term deep learning project

By Milo C

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Oct 11, 2017

Very nice class ! It's very helpful for people to process real deep learning application.

By Venkat K

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Sep 28, 2017

This course is great - probably more useful than the other two but harder to get through.

By Quentin T

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Sep 11, 2017

Excellent course, and very informative. You will not find this information anywhere else.

By Mohamed K

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Oct 2, 2024

Valuable insights for developing a more effective strategy to drive AI projects forward.

By Craig P

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Jul 27, 2022

so useful, really helps to understand how to improve Deep learning models in production!

By isaac g

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Mar 31, 2021

This is probably the most important course in terms of real-life applications, good job.

By Peter L

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Jan 11, 2021

Andrew continues to provide excellent tutorship and explain through concepts wonderfully

By Luis C R B

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Dec 27, 2020

It gives a lot of insight and new tools to develop successful machine learning projects

By Luis F S B

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Sep 16, 2020

deterministic key-points to analyze when handling machine learning projects. Excellent!

By KirAN J

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Jul 29, 2020

This course give a good idea on the problems a company or team may face on a ML project.

By Ram J

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Jul 2, 2020

great course, it gives great intuitions about how to structure machine learning problem

By Richard D

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May 27, 2020

Excellent Insight into some very useful topics while building some practical ML systems.

By Juan I C

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Nov 24, 2019

Como siempre, Andrew es muy claro en la explicaciones. El contenido del curso excelente.

By Shahriyar R

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Oct 13, 2019

Nice study cases, with real life scenarios helped me understand the flow of ml projects.

By Wenyu S

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Jul 31, 2019

Thank you! I feel excited that I can pass to next courses about cnn and sequential data.

By IK O

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Jul 30, 2019

An invaluable guide on practical issues to consider when shaping deep learning projects.

By pochadri a

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Feb 1, 2019

awesome learning on how to handle various challenges that arise out of machine learning.

By Dipan M

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May 28, 2018

This course has many practical insights that are rarely found in books or other courses.

By Le K H P

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Dec 20, 2017

Very good advices for applying DL. It's hard to learn about these tricks and approaches.

By Shawn R

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Dec 12, 2017

Great course. the material is pretty unique. It is rare to find this other literatures

By Al F

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Nov 25, 2017

This was a very useful course for learning the process of building deep learning systems