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Recently, Airbnb machine learning infrastructure has been improved, making the cost of deploying new machine learning models into production environments much lower. For example, our ML Infra team built a common feature library that allows users to apply more high-quality, filtered, reusable features to their models.

1. HQueue profile HQueue is a set of distributed, persistent message queues developed by hbase based on the search web crawl offline Systems team. It uses htable to store message data, HBase coprocessor to store the original keyvalue data in the message data format, and encapsulates the HBase client API for message access based on the HQueue client API. HQueue can be effectively used in the need to store time series data, as MAPR ...

HBase is a distributed, column-oriented, open source database based on Google's article "Bigtable: A Distributed Storage System for Structured Data" by Fay Chang. Just as Bigtable takes advantage of the distributed data storage provided by Google's File System, HBase provides Bigtable-like capabilities over Hadoop. HBase Implements Bigtable Papers on Columns ...

Developing spark applications with Scala language [goto: Dong's blog http://www.dongxicheng.org] Spark kernel is developed by Scala, so it is natural to develop spark applications using Scala. 　　If you are unfamiliar with the Scala language, you can read Web tutorials a Scala Tutorial for Java programmers or related Scala books to learn. This article will introduce ...

Intermediary transaction SEO diagnosis Taobao guest Cloud host Technology Hall This is the latest Web Development toolkit that Mashable collects, including drag-and-drop Web application creation tools, code libraries, project management, test programs, and frameworks that support a variety of programming languages, from Ajax to Ruby to Pytho N。 　　This is the first part. 　　Web program Create Class Dreamface-a framework for creating personalized WEB programs. Organi ...

Start-up company Rare Technologies recently released a hyperscale machine learning benchmark that focuses on GPUs and compares the performance of machine learning costs, ease of use, stability, scalability and performance with several popular hardware providers.