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

4.8
stars
50,110 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

YP

Jul 25, 2018

Very important and valuable intuitions about DNN training/optimization. It's full of really practical information while implementing my own models.DNN을 실제 적용할때 반드시 이해하고 적용해야 할 실질적 내용들로 구성된 멋진 코스 입니다!

TW

Jul 16, 2019

I am glad I took this class. There are a lot of things think about with respect to structuring your M/L project. Fortunately, it is not as mysterious as people often claim...but it is very nuanced.

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2601 - 2625 of 5,743 Reviews for Structuring Machine Learning Projects

By Varun V P

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Jul 10, 2018

Great course on do's and dont's for applied ml in industry.

By Fatima A

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Apr 23, 2018

Excellent course like any other courses by deeplearning.ai.

By Jue W

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Mar 13, 2018

Practical and useful advice and scenarios for the homeworks

By ahmed a k

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Feb 9, 2018

very good course with more tricks in AI field with easy way

By Andrew S

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Feb 1, 2018

Amazing course, very easy to understand and you learn a lot

By Karun G

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Nov 24, 2017

very practical and precise. full of real examples. love it!

By JUNGHOON C

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Nov 23, 2017

the most practical course about deep learning in the world!

By Tao H

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Nov 1, 2017

Very useful from practical perspective! Highly recommended!

By Ryan L

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Sep 28, 2017

Wonderful courses, I've learned more about deep learning !

By Min S

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Sep 8, 2017

Nice course to learn the steps to solve a problem using ML.

By Federico K K

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Sep 5, 2017

Very useful if you want to start a new project from scratch

By Tiago B L

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Jul 5, 2022

Unique course on how to Strucure a ML Project for success

By Filao's N

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Sep 19, 2020

Thank you for all the knowledge you give me. Thanks allot!

By Gautam B

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Aug 16, 2020

Learnt many new tricks from the master. Thank you Coursera

By Zhivko G

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Jun 21, 2020

The course provides a lot of practically applicable ideas.

By Grandhi V

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Jun 8, 2020

Amazing insights and strategies in approaching a problem!!

By Bangamu H A R A B

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May 8, 2020

Specially appreciate the videos about Deep learning Heroes

By Bryon H

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May 4, 2020

Lots of useful strategies for many deep learning problems.

By Roman N

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Apr 22, 2020

Great techniques and insights from excellent practitioner!

By Deleted A

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Mar 2, 2020

the methods and strategies in this course are very useful!

By Arumugam M

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Nov 25, 2019

Clear Explanation of Minute Techniques in Machine Learning

By Chandu W

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Nov 3, 2019

Very systematic and thought-provoking approach. Thank you!

By Jonathan F

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Aug 9, 2019

Helpful overview of how to conduct a deep learning project

By Nenad S

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Jun 8, 2019

Builds great intuition for building and improving systems.

By Chris W

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May 11, 2019

Great practical advice for applied deep learning projects!