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

4.8
stars
49,935 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

TG

Dec 1, 2020

I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.

MG

Mar 30, 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 5,724 Reviews for Structuring Machine Learning Projects

By ehsan

•

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 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

•

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.