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

4.8
stars
50,038 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

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.

WG

Mar 19, 2019

Though it might not seem imminently useful, the course notes I've referred back to the most come from this class. This course is could be summarized as a machine learning master giving useful advice.

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2301 - 2325 of 5,736 Reviews for Structuring Machine Learning Projects

By Jingbo H

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Jul 13, 2018

veriy good course! easy to master for fresh men and detailed materials.

By James G

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Jul 9, 2018

Learnt a lot for not only technical skills but also experience sharing.

By Simeon B

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Jun 4, 2018

I find the course very helpful for planning and organizing ML projects.

By Dmitry K

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May 28, 2018

A solid high level overview of the DL algorithm optimisation techniques

By Jan Z

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Mar 6, 2018

Very informative, concise, well presented, builds necessary intuition.

By Adrian L

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Jan 8, 2018

Good overview of important points to consider in deep learning projects

By Andrew D

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Nov 18, 2017

I learn how to do error analysis which I did not get from other courses

By Pamin R

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Nov 14, 2017

I have learned a lot about analyzing the error and how to make decision

By Wayne R

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Oct 30, 2017

Appreciate the clear explanations and thoroughness of all your courses.

By Rohit L

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Jun 10, 2021

This course can be helpful even if you're a professional in this field

By Harshit s

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Sep 17, 2020

Again Andrew Ng did amazing job explaining this concept in simple way.

By Pedro V

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Jun 12, 2020

Is a good course that will give you more tools to use in deep learning

By Roger M

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Apr 17, 2020

Great course! It was really helpful to understand high level concepts!

By Emin T

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Apr 2, 2020

Great course with very valuable advice from the experience of a profi!

By gayatri l

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Jan 25, 2020

Clear Concepts where to use which technique to get better performance.

By Habibur M

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Jan 20, 2020

Thank you for all teachers. You give me a new perspective of learning.

By Deleted A

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Aug 26, 2019

It is very good to learn it and I will keep learning the next cousera.

By Nithin

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Oct 24, 2018

Lot of practical knowledge on neural network and preparing data for it

By Federica N

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May 3, 2018

Very useful. Gives great understanding of some more complex scenarios!

By Cooper

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Mar 23, 2018

Although this micro course is the shortest one, I still learned a lot.

By Wenhao Z

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Feb 11, 2018

Very good and useful experience on building machine learning projects.

By Peter X

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Jan 27, 2018

Good to learn more about how to tailor your machine learning projects.

By karan m

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Jan 6, 2018

Gives very good practical advice on implementing and debugging models.

By T. F

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Dec 21, 2017

The courses in this specialization seem to just get better and better!

By Juan A

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Oct 25, 2017

Content is really good, needs some editing corrections but that's all.