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

4.8
stars
49,925 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

TG

Dec 1, 2020

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

MG

Mar 30, 2020

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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1201 - 1225 of 5,724 Reviews for Structuring Machine Learning Projects

By Kartikay S

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Jul 24, 2019

Although this was a more theory based course, I really understood the ways one can work on data issues and lack of data problems.

By Manikandan R

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Oct 17, 2018

The amount of value this short course gives is enormous and every deep learning engineer should know this much before than later.

By RAKSHIT G L

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May 20, 2018

I really love the way Andrew NG sorts everything he has to tell in such an understandable manner for listeners. Loads of thanks!!

By Marsh

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Oct 4, 2017

This course shares a lot of practical wisdom. Anyone who values efficiency and effectiveness is sure to find this course helpful.

By Xuefeng P

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Sep 1, 2017

It would be even better, if multi-task learning can be taught more mathematically, and with corresponding programming assignment.

By Bahadir K

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Aug 17, 2017

It was great to have a structured overview to identify problems in a deep learning algorithm. thanks for putting it all together.

By Anfernee

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Jul 7, 2020

It is a very useful course for anyone who wants a systematic introduction of how to start and manage a machine learning project.

By Nisheet R

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May 21, 2020

This course serves introduces to a lot of tricks and techniques as to how we should approach Deep Learning Projects in Practice.

By DARSHAN D

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Apr 18, 2020

Got great insights on how to improve the ML projects, really useful and something you may not find anywhere else on the internet

By Ahmet C

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Nov 12, 2019

Must have for anyone who is serious about deep learning. Without having this course, don't even think to start to a new project.

By Kamlesh K J

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May 26, 2019

great content of course. Help lot on how to start on new machine learning implementation and how to deal diff different scenario

By Elad A

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Jan 27, 2019

A wonderful course to learn strategies about how set up and develop the deep-learning network depends on the algorithm's errors.

By jiajun z

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Oct 20, 2018

It's very practical in the practice. and can save a lot time when you solve the problem.I think it very meaningful to my project

By Adrianus B K

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Oct 15, 2018

What is shared in this course is very practical and will be very valuable to anyone embarking on a real machine learning project

By Md Z S

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Aug 13, 2018

Great insight on how to structure and plan a new project. Lot of practical examples of diagnosing an error and how to tackle it.

By Assaf K

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Jun 2, 2018

Very practical course. Provides really great tools and methodologies for running ML project in the industry. Love it, thank you!

By Vaibhav J

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Oct 17, 2017

it was a great experience and gave a lot of incite to how to really extract meaning from your performane so as to take next path

By Zhiyang W

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Aug 21, 2017

Useful experience from Professor Ng's work in building machine learning projects throughout the course. Very useful and helpful!

By Niels M

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Dec 14, 2022

Everyone can make a network, not everyone can improve it. This course is probably the most valuable one in this specialization.

By Muhammad I

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Jan 14, 2021

Awesome to complete and acquire new dimensions of course to boost skills in the AI paradigm. Thanks to Coursera and Instructors

By Mohamed M K

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May 27, 2020

Many thanks Andrew Ng, your way of teaching things is so motivating and captures attention for sure. you're simply the best !!!

By Luiggi S A G

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May 25, 2020

I loved this course, I learned a lot of how to start and manage a group project if I am starting a new machine learning project

By Anubhav B

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May 16, 2020

Very practical advises on this course. Instantly I saw them applied to one problem at hand and very schematic approach as well.

By Paul F G

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Jun 9, 2019

Great third course in the series! Feels like we are now catching up to what is currently out there and being done in the field.

By Dongrui J

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Mar 9, 2019

Much easier compared to the previous two courses.

Teaching more practice experience and advice rather than algorithm and coding.