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

4.8
stars
50,033 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

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.

MG

Mar 31, 2020

It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.

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2926 - 2950 of 5,736 Reviews for Structuring Machine Learning Projects

By Gowri S

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Sep 23, 2017

Little bit difficult compare to first 2 course.

By Andrey S

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Sep 10, 2017

Great course on the strategy about ML projects!

By Heejo L

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Aug 19, 2017

Very helpful for DL Projects

#Empirical #Applied

By Ishant k

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Dec 21, 2020

learn about planning and model error analysis.

By Shahriar M S

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Oct 28, 2020

Very effective course learn many new concepts.

By PRIYANKA S

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Aug 17, 2020

A great course.. I loved the case study part..

By NUPUR N

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Jul 31, 2020

Loved the course and gained valuable insights.

By ehsan

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Jul 15, 2020

the most helpful course of this specialization

By VIJAYARAGHAVAN V

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Jun 4, 2020

Really I learned many new concepts. Thank you.

By VITTE

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May 24, 2020

Excellent. Transmission of a large experience.

By eon t

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Mar 7, 2020

great. learned a lot. very concise and helpful

By 曾湘

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Nov 25, 2019

very good structure of deep learning practice.

By Stelios S

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May 14, 2019

Extremely helpful practical tips and insights!

By Deleted A

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Apr 10, 2019

no one create better material than this course

By Akshat R

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Nov 2, 2018

Pretty important for anyone jumping into ML/DL

By jia-you, C L

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Nov 2, 2018

this course is helpful for learning best model

By Arunachala S

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Jun 6, 2018

Excellent subject narration with good examples

By Timothy J H

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Jun 2, 2018

Outstanding content and real world simulations

By 暴走

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May 4, 2018

very nice!!

I will recommend it to my friends!!

By Ram M

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Feb 9, 2018

Extremely useful course to ML project leaders.

By Jorge Q

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Dec 12, 2017

Great course, as usual Andrew is a great prof.

By PRASHANT K R

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Dec 5, 2017

nice! thanks for offering such a great course.

By Alvaro 梦

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Nov 5, 2017

Very insightful! Just miss some coding samples

By Martha Y S V

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Oct 16, 2017

Nice course, but I missed the python practice.

By Oleksandr M

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Oct 14, 2017

Very useful tools and recommendations. Thanks!