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

4.8
stars
46,898 ratings
•
5,380 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

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.

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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4901 - 4925 of 5,332 Reviews for Structuring Machine Learning Projects

By Emanuel G

•
Dec 1, 2018

Quite short, but nice to have

By Şükrü O

•
Sep 5, 2018

A good knowledge extension...

By João P J

•
Oct 15, 2017

Good but not very challenging

By Juan P

•
Aug 2, 2020

Interesting concepts. Thanks

By Tomas S

•
Jun 1, 2020

Good Work, maybe more speed.

By Sebastian D

•
Sep 12, 2019

Would have liked some coding

By Bhon B

•
Jul 29, 2019

Some errors in video editing

By Thomas W

•
May 9, 2018

Bit fluffy but good content.

By 李想

•
Feb 27, 2018

No programming assignment :(

By 徐衔

•
Dec 16, 2017

more exercise will be better

By Hemanth R

•
Aug 10, 2020

overall a feel-good course.

By Chaitanya M

•
Jul 5, 2020

Thanks,you are a great help

By Mahmudul H

•
Sep 8, 2018

Happy to Learning something

By Ashis K C

•
Oct 9, 2017

It is good, but very short.

By 李浩然

•
Jul 22, 2019

not as good as lecture 1&2

By Rahul S

•
Aug 31, 2018

No programming assignments

By Gijs O

•
Apr 12, 2018

Not as good as the others!

By Philip W

•
Feb 2, 2018

Great course but too basic

By Kevin R I

•
Sep 16, 2019

Not what I was expecting.

By 罗炜儒

•
Nov 28, 2018

理论讲解很深入，但是缺乏编程练习，难以记住核心思想

By Bernard F

•
Nov 27, 2017

Difficult but interesting

By Nick M

•
Jan 13, 2018

Pretty good introduction

By GEONCHANG L

•
Mar 22, 2021

Helpful lecture! Thanks

By VADDANAM G

•
Sep 30, 2020

Amazing Case Studies...

By Adarsh R

•
Jun 26, 2020

A bit boring but useful

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