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

4.8
stars
49,999 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

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!).

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.

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3026 - 3050 of 5,731 Reviews for Structuring Machine Learning Projects

By Nazmus S E

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Apr 29, 2020

An extremely informative course as always.

By Elio M

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Apr 27, 2020

Thanks Andrew Ng for another great course!

By Noam B

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Mar 26, 2020

very unique course and will help in future

By Sagar P

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Feb 27, 2020

very very practical and is a must to know

By Mohammad K

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Nov 18, 2019

You are amazing teacher Andrew, well done!

By Genyu Z

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Nov 6, 2019

Very good teaching and satisfying content.

By Martin R

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Jul 15, 2019

Very heplful tips included in this course!

By Sandeep S

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Jun 15, 2019

Too good and more informative course in NN

By Alina

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Jun 10, 2019

.this course is perfect. I like it so much

By Vishnusai Y

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Jan 28, 2019

Excellent Course with excellent insights !

By rohit m

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Aug 14, 2018

Gem of an insight !! cannot recommend more

By Jiaming K

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Mar 5, 2018

The assignments are way too easy though...

By Simon W

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Dec 28, 2017

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are really nice!

By Yuliang X

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Nov 9, 2017

very useful for machine learning engineers

By Ted T

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Nov 2, 2017

Very useful for improving my own work!!!!!

By Musalula S

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Oct 22, 2017

What a great course. This is a must attend

By Netik A

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Oct 10, 2017

will help alot to make the NN model better

By Kartoue M D

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Oct 5, 2017

Hands on structuring and tuning ML system!

By Zhang H

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Sep 25, 2017

I think this course is very very usefully.

By Vu M D

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Sep 14, 2017

very useful and clear. Thank you very much

By VIPIN K

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Feb 16, 2023

Thank you so much for such a nice course.

By esmaeil k

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Jun 5, 2022

it was very useful and an applied course.

By Rúben A A S

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Mar 21, 2021

Good basic introduction to understand ML.

By Prashant A

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Nov 1, 2020

Great Insights into Unsupervised Learning

By Julia L

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Oct 26, 2020

Thank you Andrew for an excellent course!