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

4.8
stars
49,809 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

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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.

MG

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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 5,709 Reviews for Structuring Machine Learning Projects

By Stelios S

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May 14, 2019

Extremely helpful practical tips and insights!

By Deleted A

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Apr 9, 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 5, 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 æš´èµ°

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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!

By Huaizheng Z

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Aug 25, 2017

Good for researcher to review basic knowledge.

By 陈啸（Shawn C

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Aug 24, 2017

This course will help you avoid many mistakes.

By Nicolò F

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Sep 21, 2024

It is very interesting and easy-to-understand

By Masahiro M

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May 4, 2021

Very practical with really good case studies.

By Maria R

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Mar 21, 2021

Very easy to understand, ilustrative examples

By Chang X

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Oct 27, 2020

thanks Andrew for the great course materials!

By Heidy E M N

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Aug 11, 2020

UN MUY BUEN CURSO APRENDI MUCHAS ESTRATEGIAS.

By mayukh m

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Apr 13, 2020

great case study approach to machine learning

By Christian D C H

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Oct 15, 2019

Excellent practical advise by Prof. Andrew Ng

By Almir I

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Mar 13, 2019

It's a great but short (2 weeks only) course!

By Qasid S

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Feb 7, 2019

I haven't seen this type of guide on any Mooc

By Manuel F M R

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Jan 10, 2019

Very valuable and practical insights. Thanks!