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

4.8
stars
49,985 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

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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2601 - 2625 of 5,729 Reviews for Structuring Machine Learning Projects

By JUNGHOON C

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Nov 23, 2017

the most practical course about deep learning in the world!

By Tao H

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Nov 2, 2017

Very useful from practical perspective! Highly recommended!

By Ryan L

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Sep 29, 2017

Wonderful courses, I've learned more about deep learning !

By Min S

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Sep 8, 2017

Nice course to learn the steps to solve a problem using ML.

By Federico K K

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Sep 5, 2017

Very useful if you want to start a new project from scratch

By Tiago B L

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Jul 5, 2022

Unique course on how to Strucure a ML Project for success

By Filao's N

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Sep 19, 2020

Thank you for all the knowledge you give me. Thanks allot!

By Gautam B

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Aug 16, 2020

Learnt many new tricks from the master. Thank you Coursera

By Zhivko G

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Jun 21, 2020

The course provides a lot of practically applicable ideas.

By Grandhi V

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Jun 8, 2020

Amazing insights and strategies in approaching a problem!!

By Bangamu H A R A B

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May 8, 2020

Specially appreciate the videos about Deep learning Heroes

By Bryon H

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May 5, 2020

Lots of useful strategies for many deep learning problems.

By Roman N

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Apr 22, 2020

Great techniques and insights from excellent practitioner!

By Deleted A

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Mar 2, 2020

the methods and strategies in this course are very useful!

By Arumugam M

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Nov 26, 2019

Clear Explanation of Minute Techniques in Machine Learning

By Chandu W

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Nov 3, 2019

Very systematic and thought-provoking approach. Thank you!

By Jonathan F

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Aug 10, 2019

Helpful overview of how to conduct a deep learning project

By Nenad S

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Jun 8, 2019

Builds great intuition for building and improving systems.

By Chris W

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May 11, 2019

Great practical advice for applied deep learning projects!

By Manawaduge D

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Feb 9, 2019

Excellent complement to the courses 1 & 2. Very practical.

By Ricardo A

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Jan 8, 2019

Great Practical Knowledge and Tools to use in ML projects!

By Andreas G

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Nov 4, 2018

A course that every machine learning engineer should take.

By Fred N

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Oct 28, 2018

Very useful insights and guidelines from real-world cases!

By hong c

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Aug 28, 2018

very good,thanks for all teachers.thanks for all your work

By Benigno C

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Jul 21, 2018

Very interesting concepts to keep in mind in all projects.