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

4.8
stars
49,684 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

AM

Nov 22, 2017

I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.

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.

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2051 - 2075 of 5,694 Reviews for Structuring Machine Learning Projects

By Emanuele P

Feb 12, 2018

Essential framework for those whom require a solid base to structure ML projects

By 鄭伃璇

Dec 27, 2017

Very good course to have more technical sense on how to use machine learning :)

By Mohamed A A

Dec 10, 2017

It's really great course. gave me new way of thinking when starting DL Projects.

By Huynh L D

Nov 17, 2017

can't wait for the 5th course to come out so i can complete this awesome series!

By Hagen T

Nov 15, 2017

great, but unfortunately not enough opportunities to practise the new knowledge.

By Nicola P

Nov 13, 2017

High level course with a lot of insight into the machine learning project design

By Bardia S

Oct 18, 2017

I likes it very much. Specially the flight simulator approache ist very usefull.

By Ling J

Sep 21, 2017

This is the most challenge and useful chapter in this who specialization course.

By Saravanan M

Sep 17, 2017

Very critical knowledge required to manage DL projects well, thanks a lot Andrew

By Fabrice L

Aug 15, 2017

New interesting views on practical issues in artificial neural networks projects

By Yash R

Jan 19, 2022

Excellent course as other courses in this specialisation. I learned quite alot.

By Suvojeet D

Aug 26, 2021

Great course tp handle various situations while doing machine learning projects

By Yubraj S

Sep 15, 2020

I had a great learning experience and especially I like the case study section.

By Daniel T

Aug 26, 2020

This is knowledge that you would not get at a regular class of ML at university

By Uttiya K

Jul 4, 2020

Every ML enthusiast should take this course. Thanks to Andrew Sir and Coursera.

By Aarthi L S

Jun 11, 2020

Excellent Course. Gave me a good understanding of the structure of ML projects.

By Ajay B

May 24, 2020

This course was really helpful on how to structure my machine learning projects

By Upendra G

Feb 11, 2020

Very good insights which will help if you want to lead a ML/AI project/product.

By 신우석

Jan 16, 2020

Train/Dev/Test의 결과를 어떤식으로 해석해야하고, 프로젝트를 어떤 방향으로 이끌어 나가야할지 정말 자세히 알 수 있었습니다. 최고~

By Delson B d A F

Nov 27, 2019

Very interesting course for people who already work with machine/deep learning.

By Philip L

Jul 18, 2019

Really useful tips not seen elsewhere. The explanations were simple and clear.

By Akshay J

Jun 30, 2019

Great Course! Probably should not be a mandatory course in this specialisation.

By HEF

May 7, 2019

Very useful techniques you can hardly ever find in a real university classroom.

By Artem B

Jul 30, 2018

Excellent course, a lot of great practical tips for organizing the ML projects.

By Nestor H

Jun 23, 2018

Great practical course in how to structure and lay out machine learning models.