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Structuring Machine Learning Projects, deeplearning.ai

4.8
23,902 ratings
2,648 reviews

About this 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

By AM

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.

By YL

Nov 29, 2017

It's a great course! This course gave me a lot of new perspectives in constructing a machine learning project. Especially, the discussion of data distribution in the train/dev/test set is fantastic.

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2,610 Reviews

By Matthew Taylor

Feb 19, 2019

Interesting and short course with a lot of advice about setting up projects

By K. Subramanian

Feb 19, 2019

Explained the nuances of Deep Learning that is hard to get from other sources

By Claudio Coppola

Feb 19, 2019

I think this is great at any level of expertise. It makes people aware of design methodologies which are not always intuitive.

By Shuochen Zhang

Feb 18, 2019

内容架构很好,讲得也很实用,但觉得课时有些短,许多重要且有趣的问题都未能得到展开详述。期待后续的扩充课程~~

By imran sarwar

Feb 17, 2019

Well explained !!!

By Nicolo de Groot

Feb 17, 2019

A bit short and light to be a course on its own but still useful in the series.

By 任杰文

Feb 17, 2019

It's great for me

By Gregory R. Gray Jr.

Feb 17, 2019

Thumbs Up!

By Xuanhao Zhang

Feb 16, 2019

Not that useful for me

By QIUSHI HUANG

Feb 16, 2019

not quite useful