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

4.8
stars
45,314 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

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.

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.

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4951 - 4975 of 5,103 Reviews for Structuring Machine Learning Projects

By Anthony M

Oct 23, 2017

Practical knowledge, but I would prefer more hands on coding

By Jiheng R Z

Sep 9, 2017

Quite a few errors and ambiguities in the practice problems.

By Zingg

Nov 16, 2017

The topics are interesting however the content is off par.

By Axel G

Jun 14, 2020

Good content, but very focused on Computer Vision and NLP

By Daniel D

Sep 4, 2017

The course es good, but it seems still under development.

By Juan A C A

Aug 30, 2017

It would be better if you include programming exercises.

By Abdullah M

Jan 13, 2018

It was hard to keep interested - lost focus many times

By Brandon C

Dec 6, 2018

lacking in the usual engaging programming assignments

By Varun S

Sep 23, 2018

Was expecting more scenarios for real data experience

By Jian Z

Nov 6, 2017

个人感觉课程的内容比较难于理解,希望老师在设计ppt方面能给出一些完整直观的解释,有的时候书写会不是很清晰

By Bogdan P

Sep 19, 2018

The course is OK, but it lacks programming exercises

By JETTIBOINA V N D S R P

Jul 20, 2019

Learned new things but the course was boring.......

By Tzushuan W

Jun 1, 2019

Wordy and too abstract without hands on experience.

By Evgeny S

Apr 5, 2018

I would rather expect a course more like a capstone

By Mirko R

Jan 4, 2021

It's been overall useful, but it's not "hard" ML.

By Rishab K

Apr 25, 2020

a assignment could be given along with the theory

By shafkat r

Dec 24, 2019

More programming exercises would have been great

By Beatriz S M

Feb 14, 2018

Very general, I would like to be more specific..

By AKUT J R

Aug 16, 2020

Nice module however some repetition of content!

By Mikhail G

Oct 31, 2017

quite short, would be nice to get some practice

By Paavan G

Sep 19, 2020

Could have included some programming exercises

By Thomas A

Mar 26, 2020

Interesting but not very straight-to-the point

By Marco A L H

Sep 24, 2018

not as fun as the other courses of this series

By Manish S

Apr 9, 2018

Content was not enough to create a new course.

By Yan W

Oct 24, 2017

Expect more hand-on code practice or more quiz