会員（無料）になると、いいね！でマイページに保存できます。 Googleは同社のクラウドに関するイベント「GCP Next 2016」を3月23日、24日の2日間にわたり米サンフランシスコで開催しています。 初日の基調講演で、最後の話題は機械学習（Machine Learning）でした。

Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...

Seattle-based Kaskada claims to be the first company to train machines using event-based data and real-time data being fed from streaming sources. Database-as-a-service (DBaaS) provider DataStax on ...

The explosive growth of compute power in cloud data centers is facilitating new applications of machine learning to help companies better leverage their data. In association withAWS In the past decade ...

導入実績1500超を誇るeラーニング専門ソリューション企業、株式会社デジタル・ナレッジ(本社：東京都台東区、代表取締役社長：はが弘明、以下デジタル・ナレッジ)は、オープンバッジ（デジタル資格証）のソリューション事業において、Learning Machine ...

Microsoft’s recent Azure Open Source Day showed off a new reference application built using cloud-native tools and services, with a focus on Microsoft’s own open source tools. The app was built to be ...

Facebook today is talking for the first time about FBLearner Flow, a piece of software that manages machine learning models for employees throughout the social networking company. It's similar in some ...

A Machine Learning (ML) pipeline is used to assist in the automation of machine learning processes. They work by allowing a sequence of data to be transformed and correlated in a model that can be ...

Booming interest in artificial intelligence (AI) and machine learning (ML) has led to a shortage of hardware resources and exorbitant cloud service costs, but decentralized infrastructure could ...