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Structuring Machine Learning Projects,

Оценки: 23,942
Рецензии: 2,649

Об этом курсе

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....

Лучшие рецензии

автор: 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.

автор: 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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Рецензии: 2,613

автор: Stefan Langer

Feb 20, 2019

It's nice to get some insight into projects. It would be great to have even bigger case studies.

автор: Caoliangjie

Feb 20, 2019



Feb 20, 2019

This is the knowledge in which we will get from lots of experience only, but the andrew has shared in this course which might help us in future by saving a lot of time through this course experience

автор: Matthew Taylor

Feb 19, 2019

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

автор: K. Subramanian

Feb 19, 2019

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

автор: 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.

автор: Shuochen Zhang

Feb 18, 2019


автор: imran sarwar

Feb 17, 2019

Well explained !!!

автор: Nicolo de Groot

Feb 17, 2019

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

автор: 任杰文

Feb 17, 2019

It's great for me