Chevron Left
Back to Structuring Machine Learning Projects

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

4.8
stars
49,877 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

ED

Aug 22, 2020

Excellent start for digging into topics that are not taught nowhere else. The author books 'Machine Learning Yearning' is a great next read that goes deeper in some of the aspects, really recommended.

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.

Filter by:

1676 - 1700 of 5,718 Reviews for Structuring Machine Learning Projects

By Juan E H

Jul 8, 2024

Excelent Course, in control and leadership ML Projects from a technical perspective of evaluation

By Alon H

May 11, 2022

I think this is a very important cours with a potential to save a lot of time for AI developres.

By Dương Đ N

Feb 5, 2021

This is the best course out of five courses since It does not focus on math or formulas in detail

By Georges B

Aug 30, 2020

Very instructive guidelines for structuring ML projets and Andreew Ng is excellent in teaching it

By Isha S

Jul 15, 2020

Very different from what is available on the internet and exactly what I was looking for! Cheers!

By CHRISTIAN K

Jun 16, 2020

Excellent! Very through and detailed course presented in a very a insightful and interesting way.

By Filipe C d L D

Jun 10, 2020

Excelente curso para você entender como funciona questões práticas dos projetos de Deep Learning.

By Ukachi O

May 10, 2020

Very informative especially in planning strategies in the development of machine learning models.

By Andrew C

Jan 29, 2020

There is no project in this course, but I've learned some strategy, which is really helpful, too.

By Sen C

Dec 24, 2019

This course really is wonderful in the sense that it gives a proper direction to the ML projects.

By Dejan D

Oct 9, 2019

I really enjoyed this course... I learned how to make strategies while solving real-life problems

By Anuj D

Jun 19, 2019

Great course that gives practical tips on making AI models. The simulator exercises are nice too!

By Vaibhav K

May 28, 2019

The course gives a nice overview of the problems one could encounter when working on ML projects.

By Saurabh S

Apr 8, 2019

Really helpful course. Lots of information on how should you drive your machine learning project.

By Raivis J

Mar 1, 2019

A guided coding exercise that actualy models the "simulator" scenarios would also be interesting.

By Kirk B

Jan 17, 2019

Andrew Ng is hands down the best teacher in this space. Excellent lectures and a well run course.

By Yuqing Z

Jan 7, 2019

Take this course to guide you in the process of tuning parameters and splitting data sets wisely!

By Chenguang L

Nov 5, 2018

Pretty good overview, some knowledge not only for deep learning but for all algorithm developers.

By Xie F

Oct 10, 2018

Something is repeated from previous part, And one vedio is black, Wish editor can crop or modifiy

By Dieter D W

Sep 10, 2018

I stand by the words of Andrew: you will not find much of this in the textbooks yet. Great stuff!

By Anirban C

Jun 11, 2018

Will need to revisit these lectures time and again in future while working or real life projects.

By Seha I O

Apr 8, 2018

Brief, yet full of practical details useful to optimise the ML approach at the onset of projects.

By LakshmiNarayana B

Feb 9, 2018

This is very good source to improve my ml algorithm performance and how to construct ml network .

By Chetan T

Dec 12, 2017

I liked the insights into how to approach problems, not something I've seen elsewhere. Thank you!

By Jiameng P

Oct 25, 2017

It only takes you a short period of time to get a lot of professional experience, thanks, andrew!