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

4.8
stars
49,627 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

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.

ED

Aug 22, 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.

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2501 - 2525 of 5,688 Reviews for Structuring Machine Learning Projects

By Navdeep S H

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May 6, 2020

It is a very good course to upgrade your algorithm performance

By kamran a

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Apr 29, 2020

Very Informative. Excellent for building basics and intuitions

By Sujeet K

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Jan 21, 2020

Finally completed course 3. Learned a lot. Easy to understand.

By Raphael Y

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Aug 25, 2019

perfectly explain some basic skills used in practical project.

By Liusha H

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Aug 13, 2019

Really good methodology review from experienced data scientist

By zhijun l

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Jan 17, 2019

A very good guide that has never been taught elsewhere before.

By PRIYANK U P

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Oct 18, 2018

Enjoyed the thrilling lesson! Learned a lot.ThankYou_Professor

By Lei Z

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Jul 18, 2018

It covers a lot of strategies in real project. Awesome course~

By Soumik M

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May 31, 2018

An amazing and informative course for every aspirant out there

By 田玉文

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Apr 16, 2018

I got some experiences that I couldn't get from other classes.

By tusheng w

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Apr 5, 2018

very useful course on dealing with model and dataset analysis.

By Hua W

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Jan 30, 2018

It is great to learn some real model design story from Andrew!

By gaozhipeng

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Dec 29, 2017

has a lot tuitions on practical issues! Very much recommended!

By Steven S

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Nov 17, 2017

Fantastic content and concise easy-to-understand presentation!

By Arushi A

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Oct 7, 2017

good insight to make decisions on how to prioritise ML problem

By Derek C

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Sep 3, 2017

Excellent course, full of really useful advice and techniques.

By Viktor K

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Jul 26, 2021

One thing they don't teach you at universities. Thank you!!!

By scico m

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Feb 19, 2021

awsome but need some coding noteboot as example or assignment

By David J

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Aug 23, 2020

Learned a lot, the instructor has a great presentation style.

By Shihab S

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Jun 19, 2020

Really give you a better understanding over different models.

By - A U S

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May 27, 2020

Very helpful exercises; truly put your learnings to the test.

By Adarsh S

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May 17, 2020

One of the best course to get some insight of the real world.

By GONZALEZ R S

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May 16, 2020

It´s an excellent course about Machine Learning for Beginners

By Pravesh S

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May 13, 2020

Very detailed, and crux. Nobody teaches like this in academia

By Luca P

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Feb 26, 2020

Precious baggage of wise tips to become smarter practitioners