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

4.8
stars
49,882 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

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.

JB

Jul 1, 2020

While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).

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2826 - 2850 of 5,719 Reviews for Structuring Machine Learning Projects

By Noel J

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Apr 13, 2020

Best deep learning course for any AI practitioner!

By KARAN T

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Apr 13, 2020

Great advice for working on practical ML projects.

By Alexandre F

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Jan 21, 2020

useful insights into how to deal with a DL problem

By Dmytro P

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Oct 8, 2019

Great insights from the industry for the beginners

By Michael C

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Jul 4, 2019

Another excellent course that I enjoyed immensely.

By Pedro R

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Jun 25, 2019

Very good content quality and challenging quizzes.

By Rich T

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May 27, 2019

Really a good overview for how to manage a project

By Tati H

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Feb 3, 2019

well designed and taught! thank you good people!!!

By Sanjeev U P

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Apr 23, 2018

Good practical advice on how to approach projects.

By Stephen W

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Feb 17, 2018

great as all other course in this specialization !

By Zamirbek A

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Jan 18, 2018

very helpful insights. loved the ML pilot projects

By Xingtong L

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Jan 14, 2018

This is one of the best courses I have ever taken!

By Desigan P

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Dec 13, 2017

Pearls of wisdom in this course. Excellent course!

By Ling L

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Nov 11, 2017

great info, can apple to other ML project as well.

By Salvador

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Nov 3, 2017

The simulations were very useful, good job Andrew.

By Ayush S J

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Feb 7, 2024

Great coverage of content.Thanks Team Coursera!!!

By Jianhui H

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Dec 11, 2020

lots of great practical advise, really good stuff

By Thaha M T

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Oct 15, 2020

very helpful to practical implementation of ideas

By Pablo I

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Jun 10, 2020

Muy agradecido por los Tip que dan en este curso.

By Anis b Y

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May 21, 2020

very easy to understand the intuitive explanation

By John T S

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Apr 4, 2020

The course is extremely well guided and narrated.

By Thomas P

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Apr 1, 2020

Very useful and valuable tips from a true expert!

By Evan D

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Mar 23, 2020

Super helpful practical knowledge for ML Projects

By kalyan P

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Feb 9, 2020

A must course for every machine learning engineer

By Anna A

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Dec 29, 2019

Extremely useful; key concepts clearly explained.