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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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1951 - 1975 of 5,708 Reviews for Structuring Machine Learning Projects

By Marshall

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Feb 13, 2020

Very interesting case study-based quizzes that made me think about the new material.

By Shilin G

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Jul 21, 2019

very useful videos and quizzes. just the end2end part is less in-depth than I hoped.

By Charles Z

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Mar 28, 2019

it's more valuable for troubleshooting of underfitting and overfitting in practice

By Jun W

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Nov 6, 2018

Nice overview of things you need to consider before starting and during ML projects.

By Tina

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Jul 19, 2018

the advice of dealing with data distribution and transfer learning are very helpful!

By madhumita.behera@gmail.com

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Apr 16, 2018

this gives more insite to real world dl problems and also how to handle them as well

By Parallel

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Apr 14, 2018

This course gives me many practical advices which help me to build a useful DL model

By shubham a

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Apr 8, 2018

very detailed and practical course on how to start building a deep learning project.

By Qing C

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Apr 2, 2018

More generalized information to address realsitic issues when using machine learning

By Jitender S V

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Jan 6, 2018

Wow, i didn't thought about these problems. Thanks for this course. It helped a lot.

By Galley D

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Dec 2, 2017

Excellent course with very practical tips on project management for Machine Learning

By Shawn W

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Oct 19, 2017

Good course about topics that aren't often covered in other online learning classes.

By VEMULAMANDA S K P V

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Oct 1, 2017

Now i learnt how to structure my data for reaching human level accuracy and above :)

By Muhammad A K

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Aug 31, 2017

Fantastically delivered lectures and learning-full quiz's to give a deep intuition..

By Hoang Q T

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Aug 31, 2022

A great course helps me to understand how to structuring Machine Learning projects.

By Haijian H

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Dec 21, 2021

Insightful for how to find the promising directions to boost the model performance!

By Neg K

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Oct 27, 2020

very useful to help the theory behind of ML and help how to react by have problems.

By Oscar A R R

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Sep 6, 2020

Un curso con ejemplos prácticos y buenas herramientas para aplicar en los proyectos

By Zihad A

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Jul 19, 2020

This simple 2 week course was a much-needed break for perspective-building purposes

By Tainá A

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Jun 29, 2020

This is an important course that can help a team save a feel months in a DL project

By Miguel A F G

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May 23, 2020

I have learned so many things I will be able to use in my real projects. Excellent!

By Sergey D

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Apr 11, 2020

The first two courses in the series are rather boring, but this one is a pure GOLD!

By PRANJAL J

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Feb 17, 2020

Nice and well taught course about the techniques of improving deep learning models.

By Mukkesh M

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Feb 15, 2020

By far the most important course of this specialization. Really wonderful insights.

By 楊惇昱

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Nov 10, 2019

Thank you. Teacher Andrew. I know using systematic methods to improve my model now.