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

4.8
stars
50,112 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

YP

Jul 25, 2018

Very important and valuable intuitions about DNN training/optimization. It's full of really practical information while implementing my own models.DNN을 실제 적용할때 반드시 이해하고 적용해야 할 실질적 내용들로 구성된 멋진 코스 입니다!

TW

Jul 16, 2019

I am glad I took this class. There are a lot of things think about with respect to structuring your M/L project. Fortunately, it is not as mysterious as people often claim...but it is very nuanced.

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1976 - 2000 of 5,743 Reviews for Structuring Machine Learning Projects

By Quan T H

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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 Negin 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 “

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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.

By Ashvinee

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Sep 6, 2019

It is having a great information from starting a new project to training the model.

By Otávio G

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Aug 7, 2019

Best course about how to deal with machine learning projects decisions in practice!

By Anurag W

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Jun 10, 2019

Superb explanation by Prof. Andrew, high quality concepts explained with such ease.

By Soumyadeep D

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May 16, 2019

This is a very impressive course with practical tricks for applied Machine Learning

By Dhruv D B

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Mar 4, 2019

Very practical advice in structuring ML Projects, definitely can be put to good use

By Enrique C

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Mar 3, 2019

Excellent course, cover all related with how to evaluate a machine learning project

By Hector M L

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Sep 27, 2018

muy buen curso para planear tu proyecto al no contar con una gran cantidad de datos

By Francisco A

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Aug 2, 2018

Pretty interesting, with some basic tricks offer you a way to improve your projects

By Pandya N

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Apr 12, 2018

this course gave me lots of ideas about how to do successful deep learning project.

By Rangaraj S

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Oct 28, 2017

Learned a lot about the practical processes involved in a Machine Learning Project.

By Lorenz B

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Oct 21, 2017

Pretty interesting to know about common issues and how to detect resp. solve those.

By Brian H

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Oct 16, 2017

real life practical project experience which is probably hard to find anywhere else

By Axel S

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Sep 21, 2017

Very detailed overview, of what is important in structuring a deep learning project

By Alexander R

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Sep 6, 2017

Quick and nice way to see proper methods for working on and building correct models