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

4.8
stars
46,941 ratings
5,391 reviews

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 30, 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.

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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4701 - 4725 of 5,343 Reviews for Structuring Machine Learning Projects

By mahesh p

Mar 11, 2018

Was more verbose and subjective. Would have liked references to more case studies.

By Litvinau A A

Nov 13, 2017

Great, but sometimes there were a problems with the videos (black screen and etc.)

By Andreea T

Sep 4, 2017

Very good tips and tricks, but I would have preferred it to be even more advanced.

By 蕭博偉

Jan 13, 2020

Briefly share Andrew's experience for directing what to do next in a ML project.

By Jarno R

Sep 11, 2019

Extremely valuable practical information regarding how to structure ML projects.

By Onkar M

Jun 11, 2019

This is a very interesting course but yes this is totally theoretical in nature.

By Thomas P

Sep 21, 2017

Good high-level course on how to think about projects implementing Deep Learning

By Nicolo d G

Feb 17, 2019

A bit short and light to be a course on its own but still useful in the series.

By Jose L M

Oct 1, 2018

Quiz answers were not that clear. They seem more "gotcha" than "deep learning".

By Sumesh R

Apr 8, 2018

It would be good to have more practical/industry scenarios added to the course.

By Victor P

Nov 10, 2017

Always great, but some little issues in the content makes it feel less perfect.

By Yang C

Feb 24, 2021

Great course, would expect more content for machine learning production system

By Francesco D Z

Sep 25, 2017

Great class overall. Some practice example on multi-task would have been nice.

By Steve D

May 10, 2020

Great course for a coding professional to improve on their fine tuning skills

By Maik F

Apr 1, 2019

Greate knowledge, but I had a hard time motivating myself through this theroy

By José A M

Aug 5, 2018

Good background theory for people starting in the field to get familiar with.

By Kumar V

Oct 15, 2017

Good learning , teaches us how to diagnose and plan machone learning project.

By Fredy A O L

May 29, 2020

El curso es muy bueno, le dá concenjos para emepzar a mirar redes neuronales

By Isara D S

Apr 23, 2020

As always loved the course, simulations were great and challenging to answer

By Jeff N

Mar 18, 2018

I would have loved more programming assignments and opportunity to practice.

By Mateusz O

Jan 5, 2021

Kinda more theory-based compared to the last two, but still good regardless

By Animesh S

Jun 16, 2019

I see the point, but takes too long to make it. But part of a great series.

By Umberto S

Apr 5, 2019

useful hints and techniques to manage ML Projects and choose right approach

By Sothiro P

Sep 11, 2018

I thought the course was clear and gave useful tips in leading a ML project

By Vito D

Sep 22, 2017

A bit short, maybe combine this into other courses? Or expand it with labs?