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

4.8
stars
45,317 ratings
5,160 reviews

About the Course

You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two "flight simulators" that let you practice decision-making as a machine learning project leader. This provides "industry experience" that you might otherwise get only after years of ML work experience. After 2 weeks, you will: - Understand how to diagnose errors in a machine learning system, and - Be able to prioritize the most promising directions for reducing error - Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance - Know how to apply end-to-end learning, transfer learning, and multi-task learning I've seen teams waste months or years through not understanding the principles taught in this course. I hope this two week course will save you months of time. This is a standalone course, and you can take this so long as you have basic machine learning knowledge. This is the third course in the Deep Learning Specialization....

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.

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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4551 - 4575 of 5,105 Reviews for Structuring Machine Learning Projects

By Aniceto P M

Apr 24, 2019

This course is a bit short but there i a lot of experience bottled

By Javier P

Oct 19, 2017

Programming assignments for transfer learning would have been nice

By Manish C

Jan 29, 2020

Nice to learn skills about project handling in machine learning.

By Luis E G

Dec 23, 2019

A little bit boring and repeated info., but still valuable stuff.

By Lili W

Aug 19, 2018

Tooo much time to repeat boring things...but still a good lesson!

By Nicholas K

May 13, 2018

Worthwhile: good info and the practical aspects of tuning models.

By Alexander B

Apr 24, 2018

Good for understand how to spend your time on DL projects I guess

By Kunkyu L

Sep 14, 2017

It's difficult for me, so I have to retake 3 course, when I need.

By harm l

Sep 10, 2017

Theoretical insights in strategic development of your ML project.

By Ziyi

Nov 18, 2018

The answer of Questions from quiz 2 seems to be not so confident

By Mohit K

Jun 29, 2018

Superbly discussed practical problems in the field of ML and DL.

By Ch N

Sep 11, 2017

A programming assignment could be included to learn more better.

By Raimondo M

Apr 7, 2020

I would have liked some Python assignments on Transfer Learning

By Hamzah A

Sep 7, 2019

It would be better to have some hands on assignment or quizzes.

By Mehmet N

Jan 3, 2019

Some questions/answers of the quizzes were not accurate enough.

By Erik B

May 4, 2018

Provides a more scientific approach into hyperparameter tuning.

By Qihang S

Mar 25, 2018

I hope that in Course 3 there are some programming assignments.

By Ashwani K

Apr 27, 2020

Nicely explained the concepts and importance of error analysis

By Su L

Mar 15, 2020

Volumns of different vedios are different. Some are too small.

By Yue Z

Feb 23, 2020

complementary material for the book "machine learning yarning"

By Pankaj R

Mar 12, 2018

Lot of theory was their. Good but felt asleep after some time.

By Wenhai Z

Nov 27, 2017

I would wish there were more programming practice assignments.

By Kyle H

Oct 22, 2017

Contained all good content, there just wasn't very much of it.

By Daniel A L G

Sep 21, 2020

The course is so useful, but sometimes the voice turns so low

By Paweł P

Oct 11, 2019

Good overview of the problems occuring while training models.