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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

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.

NI

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Awesome course as always. The course teaches real world practical aspects of how to get started and navigate in the real world projects. The guidelines are actual learnings from years of experience.

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1326 - 1350 of 5,708 Reviews for Structuring Machine Learning Projects

By Abdelhamid

Nov 9, 2020

This is a very good course, i learned how to structure my ML projects as well as the right way to start any ML project.

By Jithish K G

May 9, 2020

This course gave me very good insights that a machine learning enthusiast should have while working with deep learning.

By Ankur S

Dec 28, 2019

VERY NICE COURSE, GAVE LOTS OF PRACTICAL GUIDANCE TO AVOID COMMON MISTAKES WHICH CAN OPTIMIZE PROJECT TIME AND ACCURACY

By Gilad R

Aug 11, 2019

Experience based practical and seemingly precious advice on tuning NNs, explained in a clear intuitive fashion. Thanks.

By Gaby

May 4, 2019

Great course! Andrew's personal experience really helped me develop a "strategy" of leading a ML project in the future.

By Felix H

Nov 13, 2018

Really great and unique content for selecting the right approaches to solving real live problems with machine learning!

By 向金芳

Jul 3, 2018

this course is so much great! from this, I learned many knowledge about how to structure our Machine Learning Projects.

By NB

Jun 29, 2018

Very well taught course, most comprehensive and well rounded of the courses in the deep learning specialisation so far.

By isaac b

Jun 26, 2018

Great insights into understanding the sources of error in your algorithms and how to prioritize improvement strategies.

By Raffaele T

Mar 9, 2018

This course gives an understanding about the management of a Deep Learning project. I found these insights very useful.

By Ed B

Feb 5, 2018

Great knowledge. Really helped me with interview preparation too. Learnt some stuff I really should have already known!

By Lin Z

Dec 4, 2017

Well organized course, clear explanation, extremely practical and helpful. Thank you very much, the group of Andrew Ng!

By Abdullah K

Nov 10, 2017

Another great course. I am just loving all the courses in deep learning specialization. Looking forward to next course.

By Remon B

Jul 14, 2022

This course is really helpful, and it supported me with great idea of how to deal with large machine learning projects

By Apurva T

Dec 11, 2020

One of the best courses not just for Deep Learning enthusiasts but for anyone who wants to thrive as a data scientist.

By Reza V

Nov 11, 2020

If you plan to work on ML projects, don't forget to take this course. It will save you great amount of time in future.

By Pablo L

Oct 22, 2020

Excellent course that helps to understand how to think about a ML problem before throwing your first models to compute

By Tongxi L

Sep 1, 2020

this course offers a great set of important points for the development of ML projects, I should have learnt it earlier

By Thanh T P N

Feb 5, 2020

Very useful course. It helps me to make more precising decision and bring up many ideas about developing a neural nets

By Russel S

Dec 24, 2019

good course. It introduced many practical aspects of deep learning. This is even more useful than the typical theories

By Prakash C

Oct 10, 2019

It's a great course to know about the structures in which one should proceed while doing ML projects and improving it.

By Ignacio G G

Sep 22, 2019

The most useful course to face machine learning projects, independently of your skills in machine learning algorithms.

By Robert R

Mar 7, 2019

Great course for those who are interested in gaining an upper hand on the right way to manage a deep learning project.

By Dagoret S

Aug 22, 2018

It is impossible to guess how to evaluate the performances of an algorithm and the possible traps without this course.

By Vishal C

Jul 31, 2018

Need Some more reference related to these topic covered in this courses. If possible please email me.

Thanks in advance