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

4.8
stars
49,877 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.

AM

Nov 22, 2017

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

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2501 - 2525 of 5,718 Reviews for Structuring Machine Learning Projects

By Lee F

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Sep 21, 2017

Great short course, packed with practical tips for ML projects.

By Arun p

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Sep 12, 2017

It is really great..Lots of Insights shared in short duration..

By Willy N

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Aug 25, 2017

awesome i now have knowledge on how to proceed with ml projects

By Ben G

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Mar 20, 2021

This course will be great for anyone who wants a career in AI.

By Fabian I M N

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Mar 19, 2021

Real-world tools for deep learning models. As always, awesome.

By Abir E

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Feb 28, 2021

A unique course that you cannot find anywhere else! Terrific !

By Csaba M

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Oct 26, 2020

Lots of quite useful practical advice, definitely recommended!

By Pablo C

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Oct 5, 2020

Siempre es bueno tener la posibilidad de aprender de Andrew Ng

By Jermaine A

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Jul 28, 2020

As always, great, challenging material and easy to understand.

By Jawad Y

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Jun 23, 2020

Dr. Ng is one of my role model... very inspiring and educating

By Laxmi T

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May 19, 2020

Great Explanation !!!! It is helpful for every new researcher.

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!