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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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2851 - 2875 of 5,729 Reviews for Structuring Machine Learning Projects

By Evan D

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Mar 23, 2020

Super helpful practical knowledge for ML Projects

By kalyan P

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Feb 9, 2020

A must course for every machine learning engineer

By Anna A

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Dec 29, 2019

Extremely useful; key concepts clearly explained.

By Gayathry D

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Nov 17, 2019

Super helpful course for any DL/ ML practitioner.

By Zaman M

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Oct 4, 2019

I have learnt a lot about ML project structuring.

By nadaradjane

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Feb 6, 2019

Super!!! Excellent... Need your slides Mr. Ng!!!!

By Ong J R

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Nov 18, 2018

great course but should have include more content

By Ljubisa M

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Jul 27, 2018

Years of ML experience condensed in few lectures.

By pavan s

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Jul 21, 2018

Very helpful and educative course. Thanks Andrew!

By 杜凌波

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Apr 8, 2018

非常有用的一些经验，如何在各种复杂的情况下准确清晰的判断下一步应该做什么，非常有用的skills！

By Kelvin R

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Feb 16, 2018

Good insight to managing larger learning projects

By Patrick E

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Jan 28, 2018

The course helps to prioritize "what to do next".

By Vaibhav B

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Nov 18, 2017

This is the most useful course I have taken on ML

By pablo s

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Sep 22, 2017

Great to see real world problems and limitations.

By Chao ( Z

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Sep 22, 2017

Helpful for my PhD research! Valuable experience!

By Sl4er

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Sep 10, 2017

老师讲的非常清晰易懂。对实际项目很有帮助，以后真正做项目后估计要经常来查看视频，用来指导我的实践！

By 林远泽

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Aug 22, 2017

I learned a lot from this course, thank you a lot

By Gokulraj U

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Aug 19, 2017

Adequate Knowledge on End to End Deep Learning!!!

By sdogijoijweofij

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Mar 19, 2024

it's a course to take many informational things.

By Ognjen A

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Aug 12, 2022

Sharining relative information in a concise way.

By Jorge C C S

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Aug 24, 2021

all courses of this specialization are very good

By Utku M T

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Jul 23, 2021

Important applied ML concepts explained clearly.

By Susan M

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Jun 2, 2021

Challenging and useful - presented with clarity.

By Muhammad U J

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Mar 23, 2021

Excellent course with a lot of practical advice.

By Jose B

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Jan 12, 2021

Excellent coverage of a very practical material!