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

4.8
stars
49,985 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

ED

Aug 23, 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 19, 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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2876 - 2900 of 5,729 Reviews for Structuring Machine Learning Projects

By Aishik R

Aug 14, 2020

Delivers exactly what it is supposed to deliver.

By Simbarashe M

Aug 8, 2020

now l can start implementing my research project

By UnniKrishnen N

Jun 13, 2020

Amazing course. Questions can be a bit different

By raj k

Apr 15, 2020

Very useful course for my knowledge improvement.

By Patrick B

Oct 11, 2019

a lot of examples and i love the simulator part!

By Varun P

Apr 12, 2019

A very helpful course while working on Projects!

By Alam N

Oct 15, 2018

Thanks to Professor Andrew Ng and Coursera Team.

By Liz M

Aug 4, 2018

Very useful ! I recommended it to my colleagues

By Jim F

Jun 15, 2018

Hey this is fun and the Heros talks are awesome.

By 朱琪超

Mar 27, 2018

Wonderful! Thank U so much.I have learned a lot.

By Vladimir

Jan 29, 2018

A very good strategical approach to AI projects.

By Matt S

Dec 27, 2017

We need this to be a DL project leader in future

By Mehmet S

Nov 25, 2017

Very good details on how to start an ML project.

By Michel-Alexandre C

Nov 6, 2017

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By Deleted A

Oct 29, 2017

Very useful information, presented with clarity.

By libaitian7271

Sep 28, 2017

very good! I would like to learn other project,

By 姚佳奇

Sep 15, 2017

Thank you , Andrew Ng, you are a great teacher!

By 田倬韬

Sep 3, 2017

helpful course with intuitive project case study

By Wei L

Aug 27, 2017

very good course! No programming for this course

By Huzaifa S

Feb 15, 2025

best course,quiz give tough time in this course

By Eugene V

Jun 18, 2023

Very useful and thought-provocative. Thank you.

By Alfian A H

Apr 22, 2021

Very nice explanation. It's very understandable

By Lei W

Apr 5, 2021

This is a very practical course for ML projects

By Srinivasa M

Aug 9, 2020

Excellent examples are discussed by Prof Andrew

By Caroline C G

Jun 8, 2020

This course is pretty good, I've learned a lot.