Microsoft Machine Learning Api

Machine learning engineers are part of the team that develops products and builds algorithms and ensures that they work reliably, quickly, and on a scale.

Large data and artificial intelligence technology is not only the chips of the IT giants competition, but also the fast track of the success of the creators ' entrepreneurship. On January 24, on the Microsoft VC Display Day, the results of the fifth phase of the 15 teams and selected sixth 21 teams, covering the internet finance, corporate collaboration, online education, life services, health management and other areas, none of the use of cloud computing, large data, Mobile and artificial intelligence technology to seek new market opportunities. Microsoft's VC accelerator was launched in China in July 2012, offering free "change, looking for the market" for the winning team.

The REST service can help developers to provide services to end users with a simple and unified interface. However, in the application scenario of data analysis, some mature data analysis tools (such as Tableau, Excel, etc.) require the user to provide an ODBC data source, in which case the REST service does not meet the user's need for data usage. This article provides a detailed overview of how to develop a custom ODBC driver based on the existing rest service from an implementation perspective. The article focuses on the introduction of ODBC ...

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

The development of spark for a platform with considerable technical threshold and complexity, spark from the birth to the formal version of the maturity, the experience of such a short period of time, let people feel surprised. Spark was born in Amplab, Berkeley, in 2009, at the beginning of a research project at the University of Berkeley. 　　It was officially open source in 2010, and in 2013 became the Aparch Fund project, and in 2014 became the Aparch Fund's top project, the process less than five years time. Since spark from the University of Berkeley, make it ...

The traditional It delivery model has many problems, whether from the delivery cycle or from planning to experience, there are a lot of difficult to determine the factors, many times because of some subjective or objective reasons cause project lag or miscarriage. Today to recommend the SaaS Pioneer Enterprise called Cloud technology, founder Shipeixin is to see the current enterprise IT delivery pain point, in September 13 began to build the first fully automatic and full self-service enterprise cloud service platform. It can be considered "a platform to subvert the existing enterprise IT delivery model, a community of application experience and software learning, a professional it person ...

In building software-defined data centers, VM technology has become increasingly inadequate, container technology as a successor to the emerging slowly. Container technology has a long history, but the emergence of open source technology Docker provides a standard for developers to build portable applications in the form of micro-service. With the maturity of the Docker, the container has been able to meet the portability, automation, choreography and extensibility of the application. As an open source Linux container technology, Docker has been IBM, Google, R ...

Cloud computing is able to provide a virtualized pool of resources, flexible service capabilities, self-service, etc., won the CIO's favor, in order to improve the utilization of IT equipment, improve the capacity of service disaster, improve the rapid response to business support, the majority of enterprises are beginning to try the private cloud construction. The embarrassing situation of private cloud security in general, the transition from the existing IT management system to the private cloud platform requires several steps: Large data centralization, business system integration, virtualization of IT resources, management platform cloud, and cloud service delivery. (many people think that private clouds ...

Star Ring Technology's core development team participated in the deployment of the country's earliest Hadoop cluster, team leader Sun Yuanhao in the world's leading software development field has many years of experience, during Intel's work has been promoted to the Data Center Software Division Asia Pacific CTO. In recent years, the team has studied large data and Hadoop enterprise-class products, and in telecommunications, finance, transportation, government and other areas of the landing applications have extensive experience, is China's large data core technology enterprise application pioneers and practitioners. Transwarp Data Hub (referred to as TDH) is the most cases of domestic landing ...

The advent of the 4G era, enterprise data faced with explosive growth, mobile TB; At the same time, human factors, software defects, uncontrollable natural disasters and other security problems occur frequently, how to make the enterprise data security and reliable, low-cost and efficient long-term preservation, has become an urgent concern for any enterprise. Fortunately, the cloud era accompanied by the 4G era, the core advantages of cloud computing: cost-effective, resource allocation, infrastructure flexibility, business smooth switching, bandwidth and storage unlimited expansion features. Multi-backup cloud backup, cloud recovery, cloud archiving and other special ...