Microsoft Azure Machine Learning Api

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15 major frameworks for machine learning

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.

One of the secrets of Microsoft's container technology drawbridge

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 ...

"Book pick" large data development of the first knowledge of Hadoop

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 ...

Large data processing technology----R analysis of the system PA

With large data being adopted by more enterprises, the compilation and production language of data processing and analysis algorithms have been widely concerned. and unknowingly, open source statistics language R has become a basic technology for large data scientists and developers.   In all programming languages and techniques, popularity has soared. The following is the translation through the integration with the large data processing tools, R provides the depth statistical capability of large datasets, including statistical analysis and data-driven visualization. In industries such as finance, pharmaceuticals, media, and sales, which can directly take decisions from data, R has been applied in depth. ...

Interview multiple backup CTO Chen Yuanqiang: Full Open Enterprise Data Cloud eternal life Road

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 ...

VMWare acquisition of SpringSource and the cloud

Many people are concerned about VMWare acquisition of SpringSource this one thing. SpringSource is by far the most popular and fastest-growing management tool, application architecture, application and open source community behind the drivers of change and progress. The acquisition of SpringSource implies that VMWare will become a virtualization vendor in the application and edible markets. This incident has caused us to ponder: cloud computing will be set off on the network storms big thing? For the acquisition of SpringSource, V ...

Cloud computing vendors Development trend: PAAs will become the 2013 king

In all respects, 2012 is a good year for cloud computing. In addition to becoming a favorite in the media's eyes, cloud computing has also harvested a lot of corporate hugs. Despite good results, in terms of market revenue, the cloud computing market is not optimistic, cloud computing provider's performance is very low, because from the relevant data to see orders into less than 1%, but from another point of view, the future of cloud computing potential is quite large. Cloud computing providers and potential suppliers are thinking: How to transform a service into a successful commodity harvest. Fortunately in the cloud ...

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