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

4.8
stars
49,987 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 m...
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Top reviews

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.

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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5551 - 5575 of 5,729 Reviews for Structuring Machine Learning Projects

By Anatolii B

Oct 1, 2018

some quiz questions are poorly formed, a little disappointing.

By Emmanuel D M

Apr 21, 2020

I thini the course needs more quizzess and a program exercise

By C. I

Aug 17, 2017

Very short, not many practical examples. Lots of repetitions.

By W S

Aug 31, 2019

Video lectures tend to be repetitious, and can be confusing.

By Anthony M

Oct 23, 2017

Practical knowledge, but I would prefer more hands on coding

By Jiheng R Z

Sep 9, 2017

Quite a few errors and ambiguities in the practice problems.

By Zingg

Nov 16, 2017

The topics are interesting however the content is off par.

By Axel G

Jun 14, 2020

Good content, but very focused on Computer Vision and NLP

By Daniel D

Sep 4, 2017

The course es good, but it seems still under development.

By Juan A C A

Aug 30, 2017

It would be better if you include programming exercises.

By A M

Jan 13, 2018

It was hard to keep interested - lost focus many times

By Brandon C

Dec 6, 2018

lacking in the usual engaging programming assignments

By Varun S

Sep 22, 2018

Was expecting more scenarios for real data experience

By Jian Z

Nov 6, 2017

个人感觉课程的内容比较难于理解,希望老师在设计ppt方面能给出一些完整直观的解释,有的时候书写会不是很清晰

By Bogdan P

Sep 19, 2018

The course is OK, but it lacks programming exercises

By JETTIBOINA V N D S R P

Jul 20, 2019

Learned new things but the course was boring.......

By Tzushuan W

Jun 1, 2019

Wordy and too abstract without hands on experience.

By Evgeny S

Apr 5, 2018

I would rather expect a course more like a capstone

By Justin C

Oct 21, 2022

Quiz questions are too vague. Need more clarity.

By Mirko R

Jan 4, 2021

It's been overall useful, but it's not "hard" ML.

By Rishab K

Apr 25, 2020

a assignment could be given along with the theory

By Eyüp Ü

Jun 10, 2023

Some questions in the last quiz was quite vague.

By Eric H

May 17, 2021

Very little content. Everything was common sense

By Md. S R F L C

Dec 24, 2019

More programming exercises would have been great

By Beatriz S M

Feb 14, 2018

Very general, I would like to be more specific..