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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!

SV

Feb 19, 2019

This is the knowledge in which we will get from lots of experience only, but the andrew has shared in this course which might help us in future by saving a lot of time through this course experience

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1701 - 1725 of 5,743 Reviews for Structuring Machine Learning Projects

By Chenguang L

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Nov 5, 2018

Pretty good overview, some knowledge not only for deep learning but for all algorithm developers.

By Xie F

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Oct 10, 2018

Something is repeated from previous part， And one vedio is black， Wish editor can crop or modifiy

By Dieter D W

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Sep 10, 2018

I stand by the words of Andrew: you will not find much of this in the textbooks yet. Great stuff!

By Anirban C

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Jun 11, 2018

Will need to revisit these lectures time and again in future while working or real life projects.

By Seha I O

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Apr 8, 2018

Brief, yet full of practical details useful to optimise the ML approach at the onset of projects.

By LakshmiNarayana B

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Feb 9, 2018

This is very good source to improve my ml algorithm performance and how to construct ml network .

By Chetan T

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Dec 12, 2017

I liked the insights into how to approach problems, not something I've seen elsewhere. Thank you!

By Jiameng P

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Oct 25, 2017

It only takes you a short period of time to get a lot of professional experience, thanks, andrew!

By Henry V

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Oct 9, 2017

Very good, useful, and important high-level summary on how to approach and structure ML projects.

By Prakash C C

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Sep 23, 2017

First time i have learnt such practical aspects of ML which are very important for live projects.

By Daisuke N

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Aug 19, 2017

Great practical course, it helps so so so much! I can save a lot of my time. Thank you very much!

By Mohammad R A

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Jan 30, 2023

this course better have programming assignment

programming assignment is to helpful for learning

By Felipe L

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Dec 18, 2020

Great course for those who are unsure how to proceed while working on a machine learning project

By mahdi g

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Aug 14, 2020

I learned a lot of important tips from this course that would help me in real-world ML projects.

By Jose I L

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Jul 21, 2020

I specially loved the Peace case of study because I hate birds, so it was very motivating to me.

By IT-092-Deep M P

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Jun 30, 2020

Very important course. Thanks to all teachers. The course is designed well so we can learn fast.

By Andrés E F C

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May 15, 2020

Very good course to understand the process of building a Machine Learning/Deep Learning project!

By Shahab M

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Mar 4, 2020

Excellent practical strategies for real-life scenarios. Any ML engineer should take this course.

By Jorge B

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Apr 15, 2019

Great content on how to tune and adjust your neural networks for a proper deep learning solution

By Zahid S

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Mar 23, 2019

A good course to go through the main perspectives about machine learning projects. Helped a lot.

By Suresh S

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Nov 22, 2018

This course is as equally important as understanding the nuts and bolts of the algorithm proper.

By Tejashwi S

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Jun 19, 2018

This course was an amazing learning experience for me and thanks to Mr. Andrew , he is the best.

By Jiahao Z

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Apr 19, 2018

Thanks for sharing this valuable experience for tuning machine learning projects. Realy helpful!

By Colby H

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Mar 19, 2018

Good high level insights to making your thought processes more efficient to not waste man hours.