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学生对 提供的 Structuring Machine Learning Projects 的评价和反馈

33,567 个评分
3,518 个审阅


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....



Nov 23, 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.


Mar 08, 2018

Going beyond the technical details, this part of the course goes into the high level view on how to direct your efforts in a ML project. Really enjoyable and useful. Thanks for making this available!


201 - Structuring Machine Learning Projects 的 225 个评论(共 3,477 个)

创建者 Zhaiyu C

Dec 28, 2018

empirical lessons, useful.

创建者 谢凯源

Mar 31, 2019


创建者 RAJ S

Mar 31, 2019

It was a good idea to place this course in the middle of a neural network flow

创建者 Lucifer Z

Mar 30, 2019


创建者 Charles Z

Mar 29, 2019

it's more valuable for troubleshooting of underfitting and overfitting in practice

创建者 TUO W

Mar 29, 2019

It is highly recommended, and you can have a clear and broad-view of how to organize and manage a mature DL project

创建者 Lin Z

Mar 29, 2019

very good guidance on how to start a machine learning project, including many interesting discussions including how to choose the size of training/test/dev set, how to analyze the errors, how to deal with mismatched distributions of test/traning/dev set by adding a training_dev set and how to do end-to-end and multitask training. The contents are well exercised by two well defined case studies.

创建者 Mathew S

Mar 29, 2019

Excellent high level discussions. I am thankful I completed this course before getting too deep into my current deep learning project.

创建者 Zigmond V L

Mar 29, 2019

Good, practical information to help tackle ML projects most effectively.

创建者 Sergei S

Apr 01, 2019

Among other courses of this series, this course brings up some of the most important things every (deep learning) scientist should be aware of.

创建者 Muhammad H B K

Apr 02, 2019

It was an amazing experience. Thankyou Professor Andrew and Team

创建者 Kartik g

Apr 01, 2019

Its quite informative

创建者 Ravish R

Apr 01, 2019

Nice course for getting a feel of error.

创建者 Haoqiu W

Mar 31, 2019

nice teacher

创建者 Rory M

Apr 01, 2019

Great course - it was a nice change of pace to have a higher-level view of the processes involved.

创建者 Erick A

Mar 31, 2019

This is a very very interesting course since it discusses a lot of subtleties one deals with when developing machine learning projects

创建者 Wei L

Apr 02, 2019


创建者 Nemanja J

Apr 03, 2019

you are the best, this should be referent point of presenting knowledge

创建者 Arun R

Apr 03, 2019

Amazing it was.

创建者 Karel N N

Apr 05, 2019

Excellent courses, and a great teacher! Best regards and thank you very much!

创建者 Federico A G C

Apr 05, 2019

Surpassing Coursera level performance

创建者 ChenTianyi

Apr 07, 2019


创建者 Aparup B

Apr 06, 2019

By far the best of this series. These kind of accumulated lessons are very rare.

创建者 Bassel G

Apr 08, 2019

A grate course and the grate prof.

创建者 Kelvin G

Mar 28, 2019

Andrew NG impressive. As always