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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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951 - 975 of 5,718 Reviews for Structuring Machine Learning Projects

By Karan

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Aug 1, 2020

I want to thank Coursera and Andrew Ng for providing this opportunity to learn from a different part of the globe. He is the best teacher I have ever had.

By David T

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May 6, 2018

Material very well designed for people with a full time job and kids! Thank you Andrew Ng and team for making these technics so easy to learn on coursera!

By Gowtham B

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Apr 28, 2018

Really good and highly knowledgeable trainer! Gives you in-depth knowledge about how to maximize the utilization of data sets in deep learning algorithms.

By YONAH G

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Aug 4, 2021

This was a very helpful course, especially on how real world machine learning projects are run, teaching stuff that is usually not taught in universities

By Javier A

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Nov 1, 2020

Awesome! Really recommendable if you want to gain insight of how to structure machine learning projects. Information really difficult to finde elsewhere.

By Apurv A S

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May 10, 2020

This course actually gives you some tips that we can gain only after working years on Machine Learning Projects. Highly Recommended Course for beginners.

By Ralf S

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Oct 4, 2019

Easy to understand and follow. Practice questions could be improved by giving some more explanations in the results other than "Correct" and "Incorrect".

By Anubhav

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Mar 3, 2019

Great course. It taught me how not to waste important time in randomly trying out different configurations rather than proceeding in a systematic manner.

By Alex Y

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Nov 1, 2017

nice, as always... But I was a little bit disappointed that there were no any programming exercises :). That is what makes Andrew's courses so exiting :)

By Chidambara N G

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Oct 2, 2017

Wonderful strategies beautifully presented in intuitive manner with Professor's real practical experience. Pleasure to learn these from Professor Andrew!

By Aditya K S

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Aug 29, 2017

I liked both the quizzes as they helped me get an insight into some of the decisions a machine learning developer has to make while developing a solution

By Arshad S

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Jun 26, 2020

The course is excellent for Deep Learning learners and practitioners. It covers most of the scenarios that could show up in an ML project. Great course.

By Mustafa U

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Jun 21, 2020

The professor is great. I also think that I have learned unusual things that are not exactly the same as the theoretical things in the previous courses.

By Jamiil T A

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Apr 2, 2020

Full stars because the course content met my expectations on learning how to structure an ml projects. The guidelines are relevant and highly advisable.

By Aditya G

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Jun 10, 2019

Almighty Andrew NG - I promise to educate underprivileged to get enlightened from this series of course. Really excited for Course 4 and 4 (CNN and RNN)

By Catherine C

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May 18, 2019

great class. I am a big fan of the full depplaerning.ai package. I am at the 3rd module and I learnt so much. The material is clear and well structured.

By Gabriel L

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Mar 2, 2019

As expected, Andrew Ng has delivered an outstanding course where he shares his valuable veteran-like wisdom with us newbies. Thank you so much Prof. Ng!

By Alexander S

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May 1, 2018

Great course, but tweak some of the writing as I've noticed some grammatical errors in the feedback. Also, there is no "Flight Simulator" to be found :)

By Meher V K

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Jan 13, 2018

Really helpful practical advice on dealing with improving ML algorithms.. I am able to apply these strategies in my current work already! Thanks Team :)

By Nicholas M

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Nov 4, 2017

A big "THANK YOU" to Andrew and his team for sharing with us knowledge and skills that only extensive and long term experience in the field could bring.

By Carlos I P

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Oct 22, 2017

Stuff that usual courses won't cover. Very valuable insights from an experienced practitioner and expert in the area of Deep Learning. Very recommended.

By Jochen R

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Sep 10, 2017

this was an amazing course, thanks to make it happen. thanks that I can learn from the best of the bests, though I never met him personally, many thanks

By Estefania R

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Mar 26, 2021

The course is perfect, the instructor is really clear when explaining. I really suggest to any student to do this course and the whole specialization.

By Brittany J

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Feb 9, 2021

I liked this one as it was more theoretical as opposed to so much math, starting to actually see how this works instead of just how the calculus works.

By Guillermo C

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May 24, 2020

Very good material, I especially valued the effort to abstract and synthetize ML wisdom like you did here. The ML heros videos are an amazing idea too.