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

4.8
stars
49,631 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

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.

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.

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2526 - 2550 of 5,688 Reviews for Structuring Machine Learning Projects

By Ganapathy C

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Dec 30, 2019

Amazing course to start Machine Learning. Thank You Andrew Ng

By haozhiqian

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Oct 3, 2019

Very practical aspects of managing machine learning projects.

By Tuấn L

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Aug 12, 2019

Helpful course with many practical case studies and examples!

By Jummel S

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Jun 30, 2019

This will be really useful for my future projects. Thank you!

By Murat T

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May 12, 2019

Gives you nice insight about optimizing time schedule for ML.

By Li Z

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Mar 10, 2019

I really learned a lot from this course. Thank you very much!

By Vitalii S

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Mar 8, 2019

Good examples and very, very good advices to apply DL systems

By Gaurav A

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Feb 9, 2019

This is one of the most profound courses I have taken so far!

By Khoo T S

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Dec 12, 2018

Great, it helps to build a good deep learning models quickly.

By Pramod K

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Jun 10, 2018

This is a course that is useful for a practicing ML Engineer.

By 김태겸

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May 14, 2018

It is really helpful for building real deep learning systems.

By Valentin A

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Apr 8, 2018

Great course and great advice on how to approach DL projects.

By Saad A

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Nov 2, 2017

Highly recommended to advance ones' career into deep learning

By Bret C

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Oct 22, 2017

Really great practical content. I learned a lot very quickly.

By 刘稳业

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Oct 21, 2017

The course is good, while the video clips need to be improved

By Pei H C

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Oct 15, 2017

This course is very useful and practical. Like it to the max.

By Danny P

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Aug 24, 2017

A great course with unique material and very useful insights.

By Gilberto B

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Aug 7, 2021

love it. It's what I was looking for .. congratulations ...

By Rajat A

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Jul 17, 2021

Very detailed explanations of topics from basics to advance.

By Yu G

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Apr 24, 2021

I learned skills in using StackOverflow through this course.

By Aishwarya R

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Jan 1, 2021

Concepts explained clearly with examples, easy to understand

By Karthikayan M

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May 3, 2020

Highlight of this course is the Machine Learning Simulator!!

By Raju L

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Apr 10, 2020

I thoroughly enjoyed all the sessions attending this course.

By Iain C

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Aug 5, 2019

Learned a lot from this one about how to structure projects.

By Kyung M L

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Apr 25, 2019

Need some programming assignment to catch the notion vividly