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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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1301 - 1325 of 5,718 Reviews for Structuring Machine Learning Projects

By Kranti A

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Mar 8, 2018

Very well structured course, understands better and improving my skills much more further in this course. Learning a lot.

By Ayush T

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Feb 3, 2018

It's a another great course from the deeplearning.ai. This course is really helpful in managing my deep learning project.

By Shivam K

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Sep 5, 2017

Awesome insights to starting and structuring a deep learning problem. Must see for even experienced people in this field.

By Guru P B

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Mar 25, 2021

got very fruitful knowledge about how to structure ML projects but still 'how to structure experiments' part is missing.

By Rishikesh B

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Sep 8, 2020

Really helpful Course in being able to decide parameters around my on-going College Project on Food Calorie Estimation..

By Krishnan R

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Aug 28, 2020

Very good case studies in-line with concepts taught in the course. Very good Extract of real life project experience .

By Shankar P

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Aug 22, 2020

Prof. Andrew Ng is so awesome, so much useful to strengthen foundations and first principles along with solid intutions.

By Nikhil R

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Jun 12, 2020

This is a great way to learn to make choices for solving machine learning problems. Should have more quizzes like these.

By Lim Z Y

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Jun 10, 2020

Its a good course to build the basic knowledge what you should have before starting the implementation of deep learning.

By Vitor A

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Apr 22, 2020

Very explanation of training sets, dev sets, test set. How to create strategy for creating a Machine Learning algorithm.

By zheng

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Feb 14, 2020

Great course! I learned a lot of best practice on how to structure a ML project, from metric defining to error analysis.

By Hector L

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Jan 21, 2020

This was a short course, but it was packed with first-hand knowledge of the industry. I enjoyed the quizzes/simulations!

By Jenny C

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Jan 1, 2020

The speed of a couple of video's (e.g. End-to-end deep learning) seems to be accelerated, which appears a bit unnatural.

By Stefan S

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Dec 27, 2019

Very good complement to the first two courses on deep learning, a lot of useful tipps on machine learning understanding.

By Karthikeyan T P

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Dec 4, 2019

Highly recommended. Gives deeper insights into how a real-time project would be like and how to deal with the situation.

By Namburi S

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Nov 19, 2019

It helped me a lot to understand the subtleties related to data structuring before even worrying about the architecture.

By yesid a c m

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Nov 3, 2019

Muy bueno, pero podrían profundizar un poco más en los comentarios que hacen en cada pregunta después de ser calificada.

By Karan S

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Sep 2, 2019

One of my best experiences every with DeepLearning. The quiz questions helped a lot to understand real world challenges.

By Harish J

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Jul 20, 2019

Professor Ng gave a very good explanation on how to approach ML projects step-by-step. The quizzes are also really good.

By Jakub V

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Sep 23, 2018

Lot's of practical advice. Revising the questions / answers in the quizes could potentially further improve the quality.

By Matt C

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Nov 25, 2017

another excellent series of information about deep learning. The entire course has been great and I recommend it to all!

By Haedar h

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Feb 26, 2024

It's just great to learn from someone like andrew, he gives you a great intuition about all the concepts in this field.

By Abhijeet N

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Apr 9, 2023

It helped me develop my intuition skills when faced with the real world ML related problems still waiting to be solved.

By G H K

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Oct 19, 2022

I was able to finish it faster than normal. This was very practical and relatable for me because of my job experience.

By Manuel J C S

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Dec 30, 2021

Pretty good course, it can show you how to make some decisions that you probably faced before and took the wrong ones.