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

4.8
stars
45,667 ratings
5,207 reviews

About the Course

You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two "flight simulators" that let you practice decision-making as a machine learning project leader. This provides "industry experience" that you might otherwise get only after years of ML work experience. After 2 weeks, you will: - Understand how to diagnose errors in a machine learning system, and - Be able to prioritize the most promising directions for reducing error - Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance - Know how to apply end-to-end learning, transfer learning, and multi-task learning I've seen teams waste months or years through not understanding the principles taught in this course. I hope this two week course will save you months of time. This is a standalone course, and you can take this so long as you have basic machine learning knowledge. This is the third course in the Deep Learning Specialization....

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!).

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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4726 - 4750 of 5,151 Reviews for Structuring Machine Learning Projects

By Vinay M

Sep 10, 2018

Though brief but really useful.

By Michael B

Feb 23, 2020

Good concepts, but subjective.

By Wen-Hung C

May 23, 2018

Very good experience sharing!!

By Jens R

Nov 19, 2017

Very informative and relevant.

By Ajay P

Sep 27, 2017

good theoretical course on ml.

By Benoit D

Jun 16, 2019

Lack of practical assignments

By Davide F

Apr 20, 2019

Interesting but a bit verbose

By Emanuel G

Dec 1, 2018

Quite short, but nice to have

By Şükrü O

Sep 5, 2018

A good knowledge extension...

By João P J

Oct 15, 2017

Good but not very challenging

By Juan p

Aug 2, 2020

Interesting concepts. Thanks

By Tomas S

Jun 1, 2020

Good Work, maybe more speed.

By Sebastian D

Sep 12, 2019

Would have liked some coding

By Bhon B

Jul 29, 2019

Some errors in video editing

By Thomas W

May 9, 2018

Bit fluffy but good content.

By 李想

Feb 27, 2018

No programming assignment :(

By 徐衔

Dec 16, 2017

more exercise will be better

By Hemanth R

Aug 10, 2020

overall a feel-good course.

By b19077 b

Jul 5, 2020

Thanks,you are a great help

By Mahmudul H

Sep 8, 2018

Happy to Learning something

By Ashis K C

Oct 9, 2017

It is good, but very short.

By 李浩然

Jul 22, 2019

not as good as lecture 1&2

By Rahul S

Aug 31, 2018

No programming assignments

By Gijs O

Apr 12, 2018

Not as good as the others!

By Philip W

Feb 2, 2018

Great course but too basic