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

4.8
stars
45,740 ratings
•
5,219 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

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!).

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.

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4751 - 4775 of 5,162 Reviews for Structuring Machine Learning Projects

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 b19077 b

•
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 VADDANAM G

•
Sep 30, 2020

Amazing Case Studies...

By Adarsh R

•
Jun 26, 2020

A bit boring but useful

By 박은천

•
May 25, 2019

gooooood thanks Prof.Ng

By Jedrzej P

•
Apr 29, 2018

Good and very useful :)

By Spike Y

•
Nov 8, 2017

希望老师能够提供编程作业，使得知识理解更加深刻

By Zihao Z

•
Aug 13, 2020

还是缺少数学的部分，对于大学生来说缺乏挑战性

By yuichi k

•
Jul 2, 2020

内容は良いが、日本語訳がほぼないので苦労した

By Xuanhao Z

•
Feb 16, 2019

Not that useful for me

By Wenliang L

•
Jul 18, 2018

could be more concise.

By HUMBERTO T

•
Nov 16, 2020

Intense deep learning

By Jeffrey D

•
Mar 25, 2020

Maybe a bit too easy?

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