Questions? Feedback? powered by Olark live chat software
Gezintiyi Atla

Azure Etkinlikleri

Bölgenizde neler olup bittiğine bakın

Bu etkinlik bitmiştir

Building Predictive Maintenance Solutions with Azure ML

How to conveniently build a predictive model in Azure Machine Learning and deploy it as a web service.

Gaining attention largely due to the rise of the Internet of Things (IoT), predictive maintenance can be defined as a technique to predict when an in-service machine will fail so that maintenance could be planned in advance. However, the concept of predictive maintenance has evolved and covers a wide range of applications. Through a real-world example, I will show different ways of formulating a failure prediction problem. By showing a step-by-step procedure of data input, data preprocessing, data labeling and feature engineering to prepare the training/testing data on a publicly available dataset, I will present how convenient it is to build a predictive model in Azure Machine Learning and deploy it as a web service. At the end of this session, the audience is expected to understand the landscape and challenges of predictive maintenance applications, and also understand how to make usage of the predictive maintenance template offered by Microsoft Azure Machine Learning.

Nerede: Küresel
Ne zaman: Tue, 07 Jul 2015 17:00:00 GMT

Tue, 07 Jul 2015 17:00:00 GMT (UTC)

Ücretsiz hesap

Şimdi kaydolun ve $200 değerinde Azure kredisine sahip olun

Visual Studio

Aboneler yıllık $1800 tutarına kadar Azure hizmeti edinir

Başlangıçlar

BizSpark programına katılıp ücretsiz Azure hizmetlerinden yararlanın