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Back to Structuring Machine Learning Projects

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

4.8
stars
50,040 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

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!).

MG

Mar 31, 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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2901 - 2925 of 5,736 Reviews for Structuring Machine Learning Projects

By Eugene V

鈥�

Jun 18, 2023

Very useful and thought-provocative. Thank you.

By Alfian A H

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Apr 22, 2021

Very nice explanation. It's very understandable

By Lei W

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Apr 5, 2021

This is a very practical course for ML projects

By Srinivasa M

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Aug 9, 2020

Excellent examples are discussed by Prof Andrew

By Caroline C G

鈥�

Jun 9, 2020

This course is pretty good, I've learned a lot.

By ADITYA A

鈥�

Jun 6, 2020

Learned a lot. Great Course. Thank you so much.

By Vishwanath b

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May 28, 2020

It was very intresting to learn and understand.

By John T

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Apr 27, 2020

Another great course, bring on courses 4 and 5!

By I R

鈥�

Apr 16, 2020

Thank you for sharing lots of valuable insights

By Jungyong U

鈥�

Feb 22, 2020

Always a great course for AI. Thank yo so much!

By Praveen

鈥�

Jan 18, 2020

Great Course giving great real life experience.

By Harsh B K

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Aug 1, 2019

Nice course to get intuition of how to proceed.

By Khoa D D

鈥�

May 15, 2019

Clearly and improve my mind in Machine Learning

By Wang W

鈥�

Feb 8, 2019

Thers are a lot of useful skill in this course.

By Subrato C

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Sep 9, 2018

I never knew I could learn so much from a MOOC.

By Arturo M

鈥�

Jul 29, 2018

A "must" in order to become a real ML scientist

By Plusgenie

鈥�

Jul 29, 2018

鞝勳泊鞝侅溂搿� Training/Dev/Test毳� 氇呿檿頃橁矊 鞚错暣頃� 靾� 鞛堨柎靹� 膦嬱晿鞀惦媹雼�.

By Jianhong X

鈥�

Jul 15, 2018

I find this one most helpful among all, really.

By Youssef Z

鈥�

Jul 13, 2018

Thank you for your efforts , really nice job :D

By akash

鈥�

May 29, 2018

I have not seen these materials anywhere else.

By Paulo V

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May 12, 2018

Great practical insights taught in this course.

By Steven M

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Mar 25, 2018

Amazing work of the deeplearning.ai team again!

By Neeraj N

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Mar 2, 2018

The best practical lessons so far on the topic.

By Ankur G

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Dec 28, 2017

Very good for practitioners and industry users.

By Yacoub S

鈥�

Oct 29, 2017

Awesome course! Thanks once again Dr. Andrew :)