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

4.8
stars
49,809 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

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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

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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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2576 - 2600 of 5,709 Reviews for Structuring Machine Learning Projects

By muhammed n p

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Nov 18, 2021

good trainig for who are new to the field of deep learning

By Mi Z

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Aug 17, 2021

the practice of this course is great and challenging for me

By yebenbenben

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Aug 20, 2020

Very practical suggestions on handling some of the problems

By Ding H

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Aug 3, 2020

Have better understand of How to start and plan ML projects

By rtester 0

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Jul 29, 2020

Wonderful, concise and to the point contents.

Good exercises

By NUR I

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Jul 27, 2020

This Course is simple, easy to understand, and very helpful

By Rishabh D S

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Jul 6, 2020

It is an important aspect to advance learning in ML and AI.

By Chirag P

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May 10, 2020

Excellet course material

Thanks Andrew and everyone for this

By Md S Q

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Jan 16, 2020

Awesome and felt closer to the actual machine learaning job

By Pouria C

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Mar 14, 2019

This is very well-organised and cool. Totally recommend it.

By Himabindu J

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Mar 10, 2019

Amazing course, very useful theoretical concepts explained!

By fabrizio f

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Nov 22, 2018

Very good. Would have appreciated even more practice quiz.

By kapil

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Nov 22, 2018

As per me this is the must do course for any ml enthusiast.

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