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

4.8
stars
49,882 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.

JB

Jul 1, 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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2751 - 2775 of 5,719 Reviews for Structuring Machine Learning Projects

By S R

•

Dec 3, 2018

Good insights for practical machine learning projects

By 李子龙

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Nov 24, 2018

really good lesson，thank coursera and deeplearning.ai

By Man M S

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Nov 8, 2018

Great Tips & Techniques to improve the ML Algorithms

By Antonio P

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Sep 19, 2018

Good course that gives advices to solve real problems

By Ruth G

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Sep 5, 2018

Always happy to count with this great course and help

By Marina Z

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Apr 12, 2018

Top course with top hints how to handle a ML project.

By Vimit D

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Mar 28, 2018

There are a lot of basics that are necessary to learn

By Vytautas U

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Jan 18, 2018

Really good tips on strategy on how to build DL model

By g1no

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Jan 11, 2018

Quality teaching and information as usual. Thank you.

By BaiChen

•

Nov 10, 2017

many useful instructions about machine learning steps

By Glen P

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Nov 8, 2017

Very useful information that is not widely available.

By Jack B

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Sep 21, 2017

enjoyed the simulators that used real world examples.

By yash a

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Sep 18, 2017

Very crisp and systematic concepts.Hats off M.Ng Sir!

By Dave P

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Sep 15, 2017

Very much enjoying each aspect of this specialization

By Zhao Y G

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Sep 15, 2017

Very practical knowledge gain on handling AI projects

By Lyle T

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Sep 14, 2017

Excellent practical insights for real-world scenarios

By Shaoduo X

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Sep 11, 2017

Nice starter for understanding some "macro" concepts.

By Liekens W

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Aug 29, 2017

Nice overview on how to ML projects can be structered

By Samuel E

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Aug 28, 2017

Some useful insights collected together in one place!

By ZEEN L

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Aug 28, 2017

Very helpful, especially for those who just graduated

By Ouakeli B

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Jan 5, 2023

This lecture share much experience and good skills.\

By Tuan N

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Jul 16, 2022

i can gain so many insights about ML in this course.

By Camilo C V

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Aug 10, 2020

very useful to better plan machine learning problems

By Rekha R

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Jun 6, 2020

Very good for Analyzing and Structuring ML projects.