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

4.8
stars
49,903 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.

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.

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2351 - 2375 of 5,721 Reviews for Structuring Machine Learning Projects

By sunaram p

Jan 26, 2018

I bet this course is going to be pretty helpful for me in the future.

By Guruprasad S

Jan 14, 2018

So many useful tips for practical machine learning and deep learning.

By Younng-Jin K

Jan 13, 2018

Good Deep Learning course in the sense of how to carry out a project.

By Ravi K

Dec 21, 2017

Great practical tips and systematic approaches taught. Thanks Andrew!

By Diego M

Nov 23, 2017

Great approach to problem solving strategy, beyond the technicalities

By Ahmed A E

Nov 16, 2017

wonderful way to approach incomplete, incorrect, non homogeneous data

By Murad O

Nov 9, 2017

No coding but a great run over the many basic but important concepts.

By Max R

Nov 4, 2017

Great course - unfortunately no programming exercises in this course.

By Anil H

Sep 14, 2017

Great insights and solutions to solve real world deep learning issues

By Qin W

Sep 10, 2017

Thank you Andrew and you give me more sense of building a ML project.

By Ahmed M

Oct 13, 2021

very good and focusing on some concepts that may take years to learn

By Pratik M

Aug 16, 2020

This course taught me how to tackle the problems in machine learning

By Tanay A

Jul 2, 2020

This course is by far one of the most valuable lessons I've ever had

By Yevhen D

Jun 27, 2020

Nice course. Really useful practical knowledge. Thank you, Andrew Ng

By Asim K

Mar 16, 2020

The most interesting of all. Practice questions are very insightful.

By Han G

Dec 11, 2019

Excersise is quite good and efficient to apply all knowledge learned

By Julian O G

Jul 13, 2019

Conocimiento muy útil para estructurar proyectos de machine learning

By wadigzon D

Dec 13, 2018

excellent overview of best practices when organizing your ML project

By Fernando H F

Nov 17, 2018

Great course! Andrew has unique ways to explain complex definitions.

By Leiyang L

Aug 15, 2018

感谢老师的讲解,这种工程中总结的知识和心得对入门的人来说非常宝贵且难以获得,让我这样的初学者可以少走很多弯路,再次真诚地感谢老师的付出!

By Devender K

May 18, 2018

Practical approach examples are really good for thought formulation.

By xuchenyu

Nov 23, 2017

Not easy to master completely, it needs more thinking and reviewing!

By 肖大维

Nov 10, 2017

this course is a little harder than previous , but it really help me

By Wei Z

Oct 16, 2017

First of its kind of course for systematically proceed a ML project.

By Abdirahman O

Feb 3, 2023

A great course for practical guidelines on structuring ML projects.