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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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2026 - 2050 of 5,743 Reviews for Structuring Machine Learning Projects

By Peter M

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Dec 30, 2020

I love the case study because it lets me reflect on the decisions I have to make.

By Gunjan M

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Nov 16, 2020

I enjoyed it. These things aren't explicitly taught, so had fun doing this course

By Chad I

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Sep 22, 2020

I enjoyed this short course. These concepts and ideas cannot be reinforced enough

By Abdelrahman D

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Aug 7, 2020

Great course, learned a lot about the Software Engineering aspects of ML from it.

By Seyed M A T G

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Apr 27, 2020

Awesome and realistic case studies in Machine learning and Deep Learning projects

By Sayali S

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Apr 10, 2020

Really helpful when starting with a new ML project and moving forward when stuck.

By Bảo L H

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Apr 1, 2020

Thank you so much for all the useful information,

Mr. Andrew Ng and co-workers!

By Jordi A C

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Feb 25, 2020

It helped me to get new tools and guidance to find the path to build best models.

By 储黄瑞

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Feb 21, 2020

i am so glad that i am a DKU student so that i can listen to such a great course!

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