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

4.8
stars
49,907 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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5676 - 5700 of 5,721 Reviews for Structuring Machine Learning Projects

By Jordi T A

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Aug 28, 2017

A lot of the content seemed redundant both within the lectures and with the previous courses

By Clement K

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May 11, 2020

Interesting but redundant. It's not worth an entire course, even if it's only two weeks

By Péter D

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Oct 6, 2017

long videos saying actually very little ... disappointment

By Andrey L

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Oct 29, 2017

Quite boring and not so interactive like the first course

By harsh s

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Sep 22, 2020

good but more theoretical course rather than pratical

By Kaarthik S

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May 25, 2020

this is the boring course in the specialization

By Thomas A

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Oct 2, 2019

Can be better, but there's way too much fluff

By Till R

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Mar 2, 2019

Some things are best learned from experience.

By Subhadeep R

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Sep 25, 2018

Frankly I didn't find this to be very useful.

By Hernan F D

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Dec 17, 2019

There is no a lot of content in this course

By Aloys N

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Sep 20, 2019

Missing a bit of practical Python exercises

By Kristjan A

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Sep 23, 2022

This course pales in comparison to MLS.

By Ofer G

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Jul 9, 2019

Pretty basic and not enough practical

By 2k19ec173 s

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Apr 4, 2021

please work on the audio quality

By Agniteja r

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Oct 2, 2019

Useful only for beginners

By Poon M H

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Oct 25, 2024

Bad Connection Handling

By Chaobin Y

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Oct 12, 2017

Too little materials.

By Vinayagamurthy.M

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Jan 5, 2020

Very theoritic

By Gerrit V

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Aug 19, 2019

Much too slow

By Zeyi W

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Apr 8, 2018

Too short

By Christof H

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Sep 18, 2017

no praxis

By 태윤 김

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Jul 9, 2018

no funny

By Alejandro V N

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Apr 4, 2024

Least useful course in the specialization which I am completing only due to it being the assigned certificate at work. The "flight simulators" lauded in the course are simply longer versions of the flimsy multiple choice questions that do little to add to your understanding of handling Machine Learning projects or dealing with metric errors

By Franklin V

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Sep 1, 2023

I couldn't complete the quiz because the grader did not work and the support team was not able to find a solution for a known problem. This is a shame for an excellent program to be degraded by a significant issue where humans can not overcome a grader system.

I hope that the next generation of learners have a better luck

Franklin Viloria

By Michel C

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Oct 19, 2024

Deadline passed since I was working on another course. When I got back I was not able to submit assignments to this course because the deadline for the assignment had passed. Need to be able to submit even if the deadline passed since some of us are doing the work part time or switching between courses and may not follow the deadlines.