复杂的批量数据处理（batch data processing）； 基于历史数据的交互式查询（interactive query）； 基于实时数据流的数据处理（streaming data processing） ）， CSND有篇文章介绍的不错

service by creating a handle to the service using a language binding. Once created, the handle starts of in

outputs[0].tensor(); NSLog(@"Probability spoken by a male: %f%%", y_pred(0, 0)); auto isMale =

as that but very useful nonetheless. Image processing 32. Real Favicon Generator This one is still

distributed processing of large data sets on compute clusters. Pig: A high-level data-flow language and execution

rule-based part of speech tagger, Applied natural language processing (ANLC ’92) [2] Li Deng, Dong Yu, 2014,

解。那么这个融合的限制是什么？ NLP 现在的自然语言处理（natural language processing，NLP）系统能够理解文本中的单词角色以及它们之间的相互关系。下面是来自斯坦福大学CoreNLP输出的一个例子：

distributed processing of large data sets on compute clusters. Pig: A high-level data-flow language and execution

relational databases? Don’t mind trading a query language for scalability? Or perhaps you just like shiny

(2016), J. Chung et al. Exploring the limits of language modeling (2016), R. Jozefowicz et al. Teaching

le Markup Language，XML）为基础的。通过使用基于 XML 的语言（称为 Web 服务描述语言（Web Services Definition Language，WSDL））来描述接

analysis: Data warehouse and OLAP (on-line analytical processing) Association, correlation, and causality analysis

analysis: Data warehouse and OLAP (on-line analytical processing) Association, correlation, and causality analysis

analysis: Data warehouse and OLAP (on-line analytical processing) Association, correlation, and causality analysis

analysis: Data warehouse and OLAP (on-line analytical processing) Association, correlation, and causality analysis

老的语言仍然具有很强的生命力的根本原因。 Lisp之源 Lisp意为表处理(List Processing)，源自设计者John McCarthy于1960年发表的一篇论文《符号表达式的递归函数及

Programming Language :: Python Programming Language :: Python :: 2 Programming Language :: Python ::

updated --> Processing Dependency: cpp = 4.1.2-52.el5_8.1 for package: gcc --> Processing Dependency:

since 1968.[2] It also facilitated distributed processing, the connection of multiple applications to create

2010/05 2. Greenplum数据库海量并行处理 (Massively Parallel Processing) DBMS 基于 PostgreSQL 8.2 相同的客户端功能 增加支持并行处理的技术