机器学习是人工智能研究领域中的一个极其重要的方向。在现今大数据时代的背景下捕获数据并从中萃取有价值的信息或模式使得这一过去为分析师与数学家所专属的研究领域越来越为人们瞩目。本书通过精心排的实例切入日常工作任务摒弃学术化语言利用高效可复用的Python 代码阐释如何处理统计数据进行数据分析及可视化。读者可从中学到一些核心的机器学习算法并将其运用于某些策略性任务中如分类、预测及推荐等。本书适合机器学习相关研究人员及互联网从业人员学习参考。

See_MIPS_Run 2nd中文版.pdf

The present document is structured in the same manner as TS 181 005 [3] and the main clause numbering from this point in the document onwards therefore follows that document, with the scope of those clauses also following that of TS 181 005 [3]. As well as the interconnection of NGCN equipment to the NGN, the NGN can be used to host various business communication capabilities on behalf of an enterprise. These are: a) virtual leased line, where NGCN sites are interconnected through the NGN; b) business trunking application, where the NGN hosts transit capabilities between NGCNs, break-in capabilities from NGN to NGCN and break-out capabilities from NGCN to NGN; and c) hosted enterprise services, where an NGN hosts originating and/or terminating business communication capabilities for business communication users that are directly attached to an NGN. These hosted capabilities may be hosted using the different capabilities described in different clauses in TS 181 005 [3] and therefore where appropriate the various clauses of the present document are broken up to further describe interconnection requirements, and these various hosted capabilities, as follows: x.1 General; x.2 NGN/NGCN interconnection requirements; x.3 Specific requirements for hosted enterprise services; x.4 Specific requirements for business trunking application; and x.5 Specific requirements for virtual leased line.