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

4.8
stars
50,033 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

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.

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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2676 - 2700 of 5,736 Reviews for Structuring Machine Learning Projects

By John H

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Jul 11, 2019

excellent class and I especially like Andrew's teaching.

By Naman S

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Jul 4, 2019

A must course for anyone who is studying deep learning .

By Ivan M

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May 24, 2019

Important topics that everybody skipped, awesome course!

By Satheeshkumar M

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May 5, 2019

Great course to learn practical nuances of Deep Learning

By Tan B

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Feb 15, 2019

Very good tips on how to fix/improve the training model.

By dmitry p

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Jan 9, 2019

Useful course for high level DNN management and planning

By Alexander O

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Dec 29, 2018

Terrific content, well-structured and explained clearly.

By Chenxi G

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Aug 9, 2018

Some of the assignment questions are a little ambiguous.

By Steven L

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Jun 22, 2018

Very good/unique insights into applied machine learning.

By Itrat R

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Jun 11, 2018

Fantastic Course!!! Deserves nothing less than 5 star!!!

By Subramaniam V

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Jun 6, 2018

Really useful set of principles to guide any ML project.

By Yuri V H V

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Jan 3, 2018

great course, it is the basic recipe of machine learning

By Jorge D P

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Nov 20, 2017

Quite more useful than it seemed. A must, don't miss it.

By Aaron D

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Nov 14, 2017

Really helpful for moving forward a concrete ML project.

By Noam D

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Sep 3, 2017

Great course, lots of practical information and insights

By LEE C T

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Nov 22, 2020

it provides practical tips on applying machine learning

By Kunal K

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Jun 28, 2020

Thank you, this helped develop problem solving mindset.

By Henry D

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Jun 26, 2020

Excellent and practical course. Provide very good tips.

By Krishna P D

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Jun 24, 2020

Great practical insights on structuring AI, DS projects

By Marc M

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May 6, 2020

Muy bueno y util si te estas iniciando en Deep Learning

By EC-A-411 S V

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Apr 8, 2020

I have gain tons of knowledge by spending grams of time

By Priyam S

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Aug 27, 2019

very insightful and relatable to industrial environment

By Alexander R M

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May 7, 2019

You need to take this course to get the bigger picture!

By ken A B

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Oct 26, 2018

outstanding advice within the videos and simulations...

By Hamidreza F

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Aug 13, 2018

Really Helpful for managing the deep learning projects.