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

4.8
stars
49,925 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

TG

Dec 1, 2020

I learned so many things in this module. I learned that how to do error analysis 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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926 - 950 of 5,724 Reviews for Structuring Machine Learning Projects

By Ahmed G

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May 11, 2018

An Excellent way to manage your machine learning projects .

Highly recommended if you in a situation where you stuck what to do next to increase your accuracy

By Jiajia S

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Oct 31, 2017

very useful and practical lessons from Andrew based on his years' experiences! I feel like I have learned several years' worth of knowledge from this course.

By Sourav M

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Sep 14, 2017

The content was well structured and concepts were explained in simple terms. Highly recommended for professionals who would want to explore deep learning /AI

By Masum

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Aug 26, 2020

This course is theoretical, but so much important to know about Structuring Machine Learning. After this course, one gets idea about the application of ML.

By ZHOU Y

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Jun 12, 2020

This course would be so helpful when I will meet my researching work and try to perform it better, thanks for Andres's insight for ML projects construction!

By karthic r

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May 13, 2020

This course proved to be incredibly useful to learn about the caveats and thing to watch out for while building real-world, practical deep learning systems.

By Sai P

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Aug 23, 2019

Excellent content delivered by Dr Ng.

It's the highlight of the specialization.

Found it very useful in my job as a data scientist when planning ML projects.

By RAKESH S

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Jul 24, 2019

This is one of the good course and it is the good knowledge course I like so much and it is the good course I am also implementing this course to my carrier

By Tian Q

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Jan 1, 2019

This course provides some useful guidlines for implementing a machine learning system. The practice questions really helped me understand some key concepts.

By Faiz R

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Dec 11, 2018

Very well structured course with lots of practical wisdom regarding structuring projects and managing implementation with respect to real world applications

By David

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Aug 18, 2018

Great course that blends in useful tips and tricks of the trade into this otherwise implementation-focused specialization. Andrew Ng is as always brilliant.

By Hugo P

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Dec 21, 2017

Another amazing course from prof. andrew Ng. Great and valuable insights and practical advice and tips for successful implementations of real ML/AI projects

By Ewa L

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Nov 12, 2017

Never seen before material presented on how to improve performance of deep learning algorithms in a systematic manner as well as how to set up the projects.

By SriHarshavardhan M

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Oct 31, 2020

Very Practical course. Every Data Scientist should take this course! I always enjoy Andrew Ng. Thanks Andrew Ng for sharing your valued experience with us.

By Vikas M

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Jul 24, 2020

A brilliant course by a brilliant instructor. I just the love the way Prof. Andrew explains concepts. On the way to other certifications. Thanks a zillion.

By Helia B N

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Jun 11, 2020

this course is really helpful. learning about errors, variance, bias and how to face different distributions of test set, training set in practical manner.

By Ravi P B

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Apr 11, 2020

Very nice to have learn about important Machine Learning and Deep Learning Strategies and how can we systematically build and improve intelligent systems.

By Badr S

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Feb 20, 2020

As always, Andrew is absolutely amazing at transmitting advanced knowledge and making it accessible to most people. Thank you Andrew and the whole team !

By Ashwini J

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Dec 23, 2019

Good course to go through for understanding how to approach a machine learning project: manual error analysis, training-dev set creation, bayes error, etc.

By Hansa M

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May 7, 2019

A good course to help you how to strategically plan Machine Learning projects and gain insights that only working in the industry can. Thank you Andrew Ng!

By Hanna P

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Mar 2, 2019

A helpful course. It would be nice to review some parts of ML projects even in more details as there are so much places where an ML engineer can be unsure.

By Payal M

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Feb 8, 2018

By bringing in several real life ML examples/applications, the course helps reveal subtleties, and furthers a deeper understanding of concepts in practice.

By Anish M P

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Dec 4, 2017

This course is well structured and to the point. Course helps to understand practical aspects on how a ML product can be achieved using structured approach

By Jiapeng W

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Nov 9, 2021

This course really teaches me the skills in developing machine learning models for real world problems. I would highly recommend this to ML practitioners.

By Mohamed D

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Nov 28, 2020

World-class tips and tricks for structuring Machine Learning projects that you probably won't find elsewhere. Also, the quiz structure is very convenient.