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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

NI

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Awesome course as always. The course teaches real world practical aspects of how to get started and navigate in the real world projects. The guidelines are actual learnings from years of experience.

SB

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This course gave some very useful tips on how to start with a Machine learning project when I was struggling to do so. It also gave useful information about error analysis and data set distribution.

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2026 - 2050 of 5,714 Reviews for Structuring Machine Learning Projects

By Victor M

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Nov 9, 2019

Really liked this course. I learn tips and tricks to get a successful ML project.

By Emory F

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Oct 22, 2019

Amazing to see how complex the decision to create the model in real cases can ben

By Daniel B

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Oct 14, 2019

Great example driven course with many interesting examples and external lectures!

By Christos-Angelos V

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Jul 16, 2019

Another great course by Coursera. Thank you very much for sharing this knowledge.

By Juilee D

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Feb 2, 2019

completely theoretical , but very very important course from the specialization !

By Ravi M

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Dec 29, 2018

This Course give real view , what and how to choose training and testing dataset.

By Shantanu B

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Dec 18, 2018

Great course as an adjunct to the main deep-learning course. Loved completing it.

By Bhanuj B

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Sep 8, 2018

Nicely explained the design decisions and how to approach the real life problems.

By Martin D

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May 25, 2018

Excellent concise transfer of valuable guidelines and real world lessons learned!

By aditya r

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Apr 14, 2018

Give better intution of how to structure your ML projects using various technique

By WAI F C

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Dec 28, 2017

I learned the best real world developement strategy on machine learning projects.

By wday

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Nov 23, 2017

professor Ng gives very useful instructions to structure Machine learning project

By Yaw O

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Nov 19, 2017

Great course. Very thoughtful thought-provoking exercises. Thanks Andrew and team

By Kanchana R

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Nov 11, 2017

Really great insight to real-world application and building a nnet for a project.

By Kristjan R

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Sep 21, 2017

I got a good intuition for solving problems when building practical applications.

By Runhao W

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Aug 26, 2017

Very helpful for gaining some idea about what would be faced with in a DL project

By abdalrhman i

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Dec 28, 2023

very good and make u thinking in a better way which is the best in programming

By Abhijeet M

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Oct 14, 2021

Great learning. Learning from experts always makes learning interesting and fun.

By Hendri A

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Jul 19, 2021

This course is really great for understanding conceptual about Machine Learning

By Charles X

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May 25, 2021

Very good course by Andrew NG, with practical experiences which is very helpful.

By Nicholas Y K X

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May 1, 2021

Clear and concise information being conveyed. A worthwhile lecture to listen to.

By Henry B

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Jul 14, 2020

Very good course with practical information on how to improve your ML/DL project

By Binh T N

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Jun 10, 2020

I simply enjoyed learning this course. It seems like a know-how transfer for me.

By VIKAS K

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May 29, 2020

Good hands - on experience using case study. Really nice and easy to understand.

By ravi k

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Feb 29, 2020

Very useful in the implementation level...and the explanation is also very clear