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

4.8
stars
49,978 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.

WG

Mar 18, 2019

Though it might not seem imminently useful, the course notes I've referred back to the most come from this class. This course is could be summarized as a machine learning master giving useful advice.

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5726 - 5729 of 5,729 Reviews for Structuring Machine Learning Projects

By Qiushi H

•

Feb 15, 2019

not quite useful

By Vincent B

•

Oct 6, 2019

Useless I guess

By Pavel B

•

Jan 5, 2019

too easy

By SRUTHI P N

•

Jun 4, 2020

good