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

4.8
stars
49,895 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.

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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1876 - 1900 of 5,719 Reviews for Structuring Machine Learning Projects

By Wei W

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Sep 1, 2017

Great course again, very practical and intuitive way to organize a deep learning project

By Richard S

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Aug 26, 2017

Very concrete guidance for designing deep learning projects as well as analyzing errors.

By beomseok l

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Mar 12, 2023

Very interesting and insight-giving lecture. I love it. Thanks Andrew and other people.

By Rene A D P

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Jan 4, 2023

pretty good theory bases, i liked it. rather than just knowing concepts you apply them.

By Haikal A

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Apr 20, 2021

This is very good course for sharpen the strategy before do ML projects! Thanks Andrew!

By Ralapalli S N M B

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Dec 21, 2020

Practical advices for a machine learning project. Simulator quizzes are extremely good.

By Pedro d T M

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Jul 8, 2020

Very exciting course! A less technical than the previous ones, but yet very magnifying!

By Pratik H

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Jul 2, 2020

I got much help from this course in proceeding further with my machine learning project

By Annie S

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May 25, 2020

Really useful lectures to establish my mindset for solving problems using deep learning

By Mohd A

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Apr 24, 2020

Nicely Explained how to overcome certain problems while making a brand new ML projects.

By Kaveen J

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Apr 15, 2020

It was phenomenal. It would have been better if it had a little bit of programming too.

By Aakash a

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Apr 11, 2020

Amazing course !!! It has some really good and practical methods to improve the models.

By Alok V

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Mar 12, 2020

Very helpful and gets a clear idea on how ML teams working on optimization of DL Models

By Pawan D

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Jan 8, 2020

Cannot thank Andrew Ng for these courses, simple, easy to understand and very practical

By Ravi M R

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Nov 2, 2019

I'm IT business analyst. Glad to have taken this course.One word Sir, Amazing insights.

By Ethan

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May 5, 2019

The content is extremely practical and applicable to real-world projects. I enjoyed it.

By Vivek K

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Mar 30, 2018

The course material is a bit boring than other courses but still got to learn a lot. :)

By BD2020

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Mar 1, 2018

Thank you for your great course and making it accessible to students, Prof. Andrew Ng!

By Mathieu J

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Feb 24, 2018

Quite fast to achieve, done in 5 days

Good tips for structuring a deep learning project

By Liancheng W

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Dec 26, 2017

Practical knowledge that tells people what to do next when problem occurs in AI project

By Sumanta M

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Dec 23, 2017

Short course. Provide sufficient insights for deep learning project strategy selection.

By Praveen K

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Dec 18, 2017

Must try course for every data enthusiast.Thanks Andrew Ng for such a brilliant course.

By Mohamed I E T M

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Nov 24, 2017

It is a great course that teach you how to find your way around practical deep learning

By Matthew L

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Oct 23, 2017

Clear explanations and interesting solutions to problems. Definitely worth checking out

By Lin G

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Oct 1, 2017

I learnt many practice guidelines for ML projects, which can be very useful in my work.