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

4.8
stars
50,039 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鈥檚 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

Aug 23, 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.

JB

Jul 2, 2020

While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).

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5151 - 5175 of 5,736 Reviews for Structuring Machine Learning Projects

By gayatri h

Jun 5, 2019

It gives the idea about real life machine learning problems.

By David d V

May 25, 2018

It would have been great to add some programming assignments

By Jeff O

Sep 12, 2017

Good material, just wish it had more "labs" to work through.

By Juan C M S

Jun 9, 2020

In some occasions it's been has a bit redundant information

By Pranav B

Jan 30, 2020

Good Course for Beginners need more programming assignments

By Gil E B

Jul 30, 2019

Good Course to learn production pipelines for practical use

By Fereydoon V

Feb 3, 2018

Hope we had programming assignment for this course as well!

By Nandigama V

Jan 4, 2018

Very good course, It should be last course in specilization

By Richard M

Oct 14, 2020

Interesting ideas, but not as good structured as course 1.

By Pakin P

Nov 28, 2019

Thanks I learn a lot of real world application and problem

By Peter K

Mar 24, 2019

臧曥潣 頉勲皹攵 (2欤检皑) 鞐 臧曥潣 靻嶋弰臧 鞚胳渼鞝侅溂搿 臁办爼霅滉卑 臧欖姷雼堧嫟. 靻嶋弰臧 牍澕 鞚挫臧愳澊 電愱淮臁岇姷雼堧嫟.

By Akshat A

Feb 24, 2019

Curated content, quite exclusive indeed. Respect to Dr. Ng

By Joseph C

Apr 10, 2018

Needs programming exercises to help firm up the new ideas.

By QUINTANA-AMATE, S

Mar 21, 2018

Completely new of what it is out there. Well done Andrew!!

By Alejandro R V

Jan 8, 2018

Not as interesting as the others, I personally prefer math

By Gopala V

Oct 24, 2017

Gave some ideas on mismatched data and how to address them

By Akshita J

Apr 23, 2020

An assignment could have been included to let practically

By Roberto J

Oct 20, 2017

A bit dry, would love to see some more concrete examples.

By Vinicius B F

Oct 23, 2017

Content was fantastic, but the videos were badly edited.

By Suresh P I

Sep 10, 2017

Can be potentially folded into other courses if possible

By Mike L

Aug 10, 2024

Great info but the quiz questions are a bit unclear IMO

By Ann D

Sep 10, 2023

nice short course. Quizzes were more difficult, though

By Hanqiu D

Jan 9, 2021

It's too easy and cannot be a reasonable single course.

By heykel

Jan 28, 2020

very helpful to build an intuition for DL strategies...

By Rafael G M

Dec 7, 2019

Providing further references would benefit this section