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

4.8
stars
49,627 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

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.

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.

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776 - 800 of 5,688 Reviews for Structuring Machine Learning Projects

By Andreas B O

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Jan 7, 2020

This was a short but very useful course - the concepts will be highly useful for future projects - especially the testing method using the scenarios of applied Deep Learning

By Simon W

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Sep 9, 2019

Having dived into the detail, this is a great overview to help you string together your new skills and implement something. The "flight simulator" concept is a powerful one.

By Brighter A

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Apr 7, 2018

This course is one of a kind. It offers DL new entrants the opportunity of understanding applied DL and gaining 'offline' DL experience. Thanks for the opportunity given me.

By Cheryl A

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Mar 25, 2018

Great course. Provided important insight in how to setting metrics, evaluating errors, dealing with mismatched data and an intro to transfer learning and mulit-task learning

By Dongxiao H

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Dec 5, 2017

I've learnt the coursera even not watching the last two videos, maybe the order is wrong. But the course is very beneficial to diagonize the pathway to kick the problem off.

By Harley J

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Oct 22, 2017

This course teaches very good practical advice for designing your own deep learning project, prioritizing resources, and identifying weak points in your deep learning model.

By chris

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Sep 28, 2017

Fantastic course, Andrew is a clearly a leader in the field and presents a very in-depth but approachable course. Very much looking forward to RNN and DNN (modules 4 and 5).

By Stuart H

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Oct 27, 2021

This course is packed with useful tips and practical advice about issues that will arise in ML projects, making you think about real-world scenarios and how to handle them.

By Madhur S

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Aug 4, 2020

Excellent meta view of how to approach training, validation and testing which is not really available elsewhere as Andrew has actual experience of true DL projects at scale

By Luis A V

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May 15, 2020

Excellent and insightful course. The only thing I would note is that in my opinion I would not classify it as "beginner" but more of an "intermediate" level course. Thanks!

By Caleb R

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Nov 13, 2019

The course is laid out well and the videos are very clear and understandable. The instructor who creates the videos, Andrew Ng, does a very good job at explaining concepts.

By adolfo b

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Aug 28, 2019

Great course. I now have a better understanding of how to approach a project and how to make better choices on what to focus on to continue improving deep learning models.

By parag p

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Nov 1, 2018

Simply loved some of the tips shared by Prof. Andrew Ng in structuring a Machine Learning problem. The simulation Use Cases were helpful in structuring the thought process.

By Tich M

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Nov 29, 2017

This one was very rewarding. It looks simple but really challenges your mind to think strategically about how to plan and prioritize for ML projects. Really useful content!

By Andrea R

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Oct 5, 2017

This course is very important: it will lift you up from the pure coding problems, showing you how to actually develop a project, take decisions and work in a team.

Great job

By P. D V

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Sep 17, 2023

enjoyed it, and provides a more qualitative sense of how to assess machine learning projects which makes a nice complement to the other courses which has more programming.

By Alexander G

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Jan 8, 2021

Very good image about ML projects as a whole thing. Perhaps this course doesn't have any programming task, but but it has the good recomendations for building ML projects.

By VINAY M

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Jul 6, 2020

I have some knowledge on this specialization , but this course is also very helpful for individuals who do not have insights in this area. Thank you Coursera and its team.

By Yasar M

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Nov 9, 2019

Top course. However, the course could be improved by having the students actually develop some projects and facing the issues discussed in the course in some real project.

By Rabindranath A

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Nov 1, 2018

Very informative and concise. Perhaps assignments could have been a bit more hands-on, but hey, it's only two weeks course!

I learned a good set of tricks and tips. Thanks!

By Bharatram

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Apr 2, 2018

I was able to understand the important design decisions that surrounded at each stage of learning and learn about impact of errors in deciding the future course of actions

By Joanna K

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Jan 17, 2018

For me the best course of the specialization right now (I haven't done 4 and 5 part yet). There is a lot of practical knowledge. I really like Heroes of DL in this course!

By Florian D

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Jul 4, 2021

Just like the preceeding two courses in this specialization, it was great. Andrew can really transfer his knowledge in a way that makes it very accessible and applicable.

By Sherry B

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Jul 5, 2020

It's incredible that Andrew Ng shares his real-life DL experiences to help ensure beginners know the key factors to consider to much more efficiently work on DL problems.

By Chunduru G V S P

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May 19, 2020

This course taught me how to handle real life problems in neural networks and flight simulator exercises are good for understanding concepts clearly. Thank you Andrew ng.