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

4.8
stars
50,120 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鈥檚 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

DC

Mar 8, 2018

Going beyond the technical details, this part of the course goes into the high level view on how to direct your efforts in a ML project. Really enjoyable and useful. Thanks for making this available!

YP

Jul 26, 2018

Very important and valuable intuitions about DNN training/optimization. It's full of really practical information while implementing my own models.DNN鞚� 鞁れ牅 鞝侅毄頃犽晫 氚橂摐鞁� 鞚错暣頃橁碃 鞝侅毄頃挫暭 頃� 鞁れ鞝� 雮挫毄霌る 甑劚霅� 氅嬱 旖旍姢 鞛呺媹雼�!

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2201 - 2225 of 5,746 Reviews for Structuring Machine Learning Projects

By sai k

鈥�

Apr 20, 2018

Very Good course in developing and structuring projects in Machine Learning

By Akbar N

鈥�

Mar 31, 2018

Unique material that you cannot find anywhere if you're in leadership role.

By Jitendra M

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Mar 9, 2018

Very nice insights on how to assess your ML algorithm using error analysis.

By Ivan A

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Jan 11, 2018

Good explanation for challenges about structuring machine learning project.

By Dragan A

鈥�

Nov 21, 2017

great information on where to focus depending of the project circumstances!

By Dhaval D

鈥�

Nov 13, 2017

This is amazing course and gives great insights to Deep learning strategies

By Li L

鈥�

Oct 27, 2017

A lot of valuable experiences from real projects. Thanks for sharing these.

By HanSeYeong

鈥�

Sep 26, 2017

These cources are always awesome that I don't need to worry about contents!

By Sachin B

鈥�

Nov 27, 2022

Good Course only took 2 days to complete the tutorial and the assignments.

By Ali n

鈥�

Jan 3, 2021

Best for my foundation of Structuring data and bias and variance trade-off

By Ari W R

鈥�

Aug 24, 2020

That is a fantastic course for about structuring machine learning project!

By Ruslan T

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Jul 19, 2020

An amazing course for everyone who works in ML and wonders to do it better

By Manikanteswar

鈥�

Jun 12, 2020

The way you are teaching to the students is amazing and unforgettable.

By Carlo C

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May 24, 2020

As always, maximum vote. Super clear and interesting and useful! Thanks!!!

By qiaojiaxin

鈥�

Mar 26, 2020

Very nice 锛宨f there will be more programming exercises锛宨t will be perfect.

By Amandeep S B

鈥�

Feb 20, 2020

Andrew Ng is a superhero of Deep Learning.

My dream is to meet him one day.

By Romain G

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Nov 5, 2019

Great to think clearly about what the bottlenecks are and what to do next.

By Jingyu Z

鈥�

Jul 17, 2019

many useful strategies can adopt to solve problems. really amazing course!

By Rajesh S

鈥�

Sep 28, 2018

case study and more real world problems mentioned in the lectures are good

By Andrei K

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Sep 14, 2018

Good and very useful summary of best practices in structuring ML projects!

By Juan V

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Jun 25, 2018

Great course. Lots of knowledge acquired, on an easy step-by-step process!

By yuan j

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Nov 20, 2017

I learnt how to proceed a machine learning project in this amazing course

By Tianwen L

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Oct 8, 2017

It's very exciting to have such practical advice, it's awesome. Thank you.

By Grant H

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Oct 2, 2017

Continues the high quality of courses in the Deep Learning specialization.

By Tyler M

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Sep 24, 2017

Excellent introduction to the process of creating and evaluating projects.