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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

ED

Aug 22, 2020

Excellent start for digging into topics that are not taught nowhere else. The author books 'Machine Learning Yearning' is a great next read that goes deeper in some of the aspects, really recommended.

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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1176 - 1200 of 5,718 Reviews for Structuring Machine Learning Projects

By indavarapu a

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Jul 14, 2020

It was very good. The instructor shared experience of building industry level machine learning systems which was interesting useful

By Salar M

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Apr 19, 2020

I wish there was a programming assignment to practice what we learnt during the lectures.

Thank you very much for this great course.

By Kévin L

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Apr 3, 2020

Very interesting ways to think about any ML project. We are now able to interpret the results and have a real analysis methodology.

By Renee L

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Oct 7, 2019

The 'simulator practice' is very useful. It is actually very very close to what I do at work as a junior machine learning engineer.

By Sahil W

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Aug 11, 2019

Andrew Sir teaching style is awesome. He makes very hard concepts very easy and very explicit about ever detail. Thanks Andrew Sir.

By Stephen H

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Jun 15, 2018

Another excellent course in this specialisation. Lots of focussed, practical advice and techniques to apply to real world projects.

By Anik J

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May 25, 2018

It is a good review course to better understand the data rather than blindly depending on deep learning models. Certainly helpful!!

By Sunny M

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May 15, 2022

Great advice and insights into dealing with real world machine learning problems! And the small interviews were also heartwarming.

By Alae K

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Feb 7, 2021

U will certainly learn things that you won't find anywhere else ! Andrew NG is a great teacher ! happy to follow all his courses !

By Phùng T S

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Sep 21, 2020

This is a great course. Give you some aspects of machine learning. Also, it helps you address some problems in practical projects.

By Nguyá»…n Q T

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Jul 1, 2020

This is really helpful strategy and decision making when facing problem on Deep Learning project. what the awesome quiz exercises

By Jesse J

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Apr 17, 2020

Gives a practical view of machine learning projects in terms of deciding the most promising areas to pursue to improve your model.

By Rooholla K

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Jan 19, 2020

I thank dear Andrew for preparing a course that teaches us the things that take an ML practitioner years to master on his/her own.

By Afonso D

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Apr 25, 2019

To dive into the practical and business aspects of deep learning is a need! Andrew Ng shares a lot of his experience in the field.

By Mohammed K A K

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Apr 8, 2019

Concept of Transfer learning, error analysis very clearly explained. Yearning to build my first model on a completely new problem.

By Dustin V

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Dec 3, 2017

This course has practical information that I dont think you can readily find in text books. Super useful for real world problems.

By darshan f

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Oct 21, 2017

Improving performance of your neural networks in a structured way - something which is not easy to find as a resource on internet.

By Dusan J

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Aug 16, 2017

Very nice course that explains well how to structure and plan your machine learning projects. I especially liked the case studies!

By Anais W

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Mar 12, 2021

Amazing course with many practical insights! One thing that could be further improved is increase hands-on practice for this part

By S. G p l

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Jun 18, 2020

Very good explanations, we could learn many different things, so thank you for teaching. Keep learning & charming. Thank you 😊☺.

By Sylwester M

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May 21, 2020

This course saved thousands of hours to be spent on collecting so many valuable hints taken from different fields. Thanks Andrew!

By Jérémie D

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Apr 13, 2020

As always, these courses are awesome. I love the "flight simulator approach" for the 2 tests (real questions on real uses cases).

By Guoliang

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Apr 6, 2020

This is a sort of introduction to high-level strategical view of machine learning practicing. Very practical and easy-to-follow.

By Abdulrahman S

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Sep 1, 2019

I really enjoyed this course! It gives me industrial perception on deep learning projects which I am looking into for many yeats.

By Kartikay S

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Jul 24, 2019

Although this was a more theory based course, I really understood the ways one can work on data issues and lack of data problems.