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

4.8
stars
50,119 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

YP

Jul 26, 2018

Very important and valuable intuitions about DNN training/optimization. It's full of really practical information while implementing my own models.DNN? ?? ???? ??? ???? ???? ? ??? ???? ??? ?? ?? ???!

SB

May 7, 2020

This course gave some very useful tips on how to start with a Machine learning project when I was struggling to do so. It also gave useful information about error analysis and data set distribution.

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2801 - 2825 of 5,746 Reviews for Structuring Machine Learning Projects

By Prashant S

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Jul 19, 2023

one of the most elaborate and well explained course

By Tobias L

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Aug 27, 2020

Great course, focusing on the bigger picture of ML.

By Caroline W

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Aug 2, 2020

The course is useful, and the teacher teaches well.

By Shankar M

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May 6, 2020

Wow! Any machine learning beginner would love this!

By Diego M

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Apr 25, 2020

Gives production experience to a junior AI engineer

By Han-Chung L

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Jan 25, 2020

The insights provided by Prof Ng is second to none.

By MIGUEL A Z G

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Jan 24, 2020

Those case study were awesome! totally recommended!

By Jorge M G O

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Jul 29, 2019

Thanks, I learned a lot of things with this course.

By Anand V

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Jul 26, 2019

case study is great. That helps to think strategy.

By Shail R

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Nov 15, 2018

Excellent insights based on significant experience.

By Peter S

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Nov 11, 2018

Very useful. Liked the case study type assignments.

By Daniel L

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Jun 24, 2018

Great course with some useful tips for practical ML

By Ashwini k p

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Apr 28, 2018

Truly unique material not available in books or web

By Hassan S

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Apr 5, 2018

Thanks a lot for the simulations, I did enjoy them!

By Huy P

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Mar 25, 2018

Really awesome, practical workflow with case study!

By Mohamed R M H

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Feb 1, 2018

Thanks coursera for this course.It was very useful.

By Tsang S H

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Nov 26, 2017

Systemic workflow is rarely mentioned in papers !!!

By Guillaume H

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Nov 14, 2017

Great, the most useful course so far to be honnest!

By Prabin S

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Oct 30, 2017

Great Course. Thank you Andrew. Thank you 糖心vlog官网观看.

By Shayak R

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Oct 29, 2017

Good Practical tips for deep learning practitioners

By 孔燕斌

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Oct 19, 2017

It's make me ready for a real deep learning project

By Anders B

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Oct 4, 2017

Must watch for anyone doing or planning on doing ML

By Ling G

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Sep 25, 2017

Very insightful and I like the pilot project a lot.

By 侯博维

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Sep 17, 2017

waiting for the next class, hope it can begin soon.

By golden g

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Aug 31, 2017

非常适合甲方\导师\研发团队头目\产物经理, 即时战略类课程, 讲述如何评估模型如何挑选改进方向,