Top Python Frameworks

With the development and popularity of artificial intelligence technology, Python has surpassed many other programming languages and has become one of the most popular and most commonly used programming languages in the field of machine learning.

Open source machine learning tools also allow you to migrate learning, which means you can solve machine learning problems by applying other aspects of knowledge.

Find latest articles about machine learning.

Learn about latest trends of big data by reading our selected articles.

Hadoop is a large data distributed system infrastructure developed by the Apache Foundation, the earliest version of which was the 2003 original Yahoo! Doug cutting is based on Google's published academic paper. Users can easily develop and run applications that process massive amounts of data in Hadoop without knowing the underlying details of the distribution. The features of low cost, high reliability, high scalability, high efficiency and high fault tolerance make Hadoop the most popular large data analysis system, yet its HDFs and mapred ...

Hadoop is a large data distributed system infrastructure developed by the Apache Foundation, the earliest version of which was the 2003 original Yahoo! Dougcutting based on Google's published academic paper. Users can easily develop and run applications that process massive amounts of data in Hadoop without knowing the underlying details of the distribution. The features of low cost, high reliability, high scalability, high efficiency and high fault tolerance make Hadoop the most popular large data analysis system, yet its HDFs and mapreduc ...

This time, we share the 13 most commonly used open source tools in the Hadoop ecosystem, including resource scheduling, stream computing, and various business-oriented scenarios. First, we look at resource management.

This article describes how to build a virtual application pattern that implements the automatic extension of the http://www.aliyun.com/zixun/aggregation/12423.html "> virtual system Pattern Instance nodes." This technology utilizes virtual application mode policies, monitoring frameworks, and virtual system patterns to clone APIs. The virtual system mode (VSP) model defines the cloud workload as a middleware mirroring topology. The VSP middleware workload topology can have one or more virtual mirrors ...

While private cloud is one of the fastest growing areas in the cloud where enterprise users are involved, the public cloud is becoming more and more powerful in the business world. Some companies just use the public cloud alone, while others combine public and private clouds to ease the threat of security and greatly reduce costs compared to real private clouds. The selection of three public clouds is outlined here, the three most commonly used among participants in the serverside.com 2011 readership survey. Amazon Elastic Cloud Computing (EC2) "Resilient" cloud does not disappoint its name, ...

The cloud computing platform plays a "dream lover" role in the process of serving developers, PAAs also provides the services of cloud computing services and platforms for ordinary developers, while introducing open source technology in PAAs provides a fairly open and advanced technical support for this service platform, including Red Hat, VMware and others play an important role in this field. PAAs and developers who play for developers and PAAs service platforms, there is no one who is completely dependent on the situation, the general understanding is that the user of the tool platform has a certain dominance ...