消息首页搜索举报

英文原版 Mathematics of Big Data (MIT Lincoln Laboratory Series) 大数据数学计算机精装英文版进口英语原版书籍

书籍内容简介可联系客服查阅，查书找书开票同样可以联系客服

538 9.0折 598 九五品

库存2件

广东广州

认证卖家担保交易快速发货售后保障

作者Kepner, Jeremy

出版社The MIT Press

ISBN9780262038393

出版时间2018-07

装帧精装

定价598元

货号YBYDA-6802

上书时间2024-03-18

瑞雅图书专营店

已实名已认证进店收藏店铺

在售商品暂无
平均发货时间 18小时
好评率暂无

最新上架

英文原版小说 The Player Of Games 游戏玩家 ¥98.00

英文原版 Writing the Broadway Musical 百老汇音乐剧写作英文版进口英语原版书籍 ¥156.00

【预订】James and the Giant Peach ¥118.00

【预订】Drive Your Own Darn Bus! ¥138.00

英文原版 Mathematics Of Life 生命之数用数学解释生命的存在伊恩·斯图尔特英文版进口英语原版书籍 ¥96.00

英文原版 Introductory Chemistry: A Foundation 化学基础入门第9版英文版进口英语原版书籍 ¥832.00

英文原版 Ekstedt 瑞典餐厅Ekstedt 北欧的现代烹饪精装英文版进口英语原版书籍 ¥358.00

英文原版 Tribes 部落一呼百应的力量紫牛作者Seth Godin 领导学组织行为学精装英文版进口英语原版书籍 ¥178.00

英文原版书 The Immersion Program 沉浸计划漫画小说 ¥178.00

商品详情

品相描述：九五品

商品描述: 内容摘要
The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies. Today, the volume, velocity, and variety of data are increasing rapidly across a range of fields, including Internet search, healthcare, finance, social media, wireless devices, and cybersecurity. Indeed, these data are growing at a rate beyond our capacity to analyze them. The tools―including spreadsheets, databases, matrices, and graphs―developed to address this challenge all reflect the need to store and operate on data as whole sets rather than as individual elements. This book presents the common mathematical foundations of these data sets that apply across many applications and technologies. Associative arrays unify and simplify data, allowing readers to look past the differences among the various tools and leverage their mathematical similarities in order to solve the hardest big data challenges. The book first introduces the concept of the associative array in practical terms, presents the associative array manipulation system D4M (Dynamic Distributed Dimensional Data Model), and describes the application of associative arrays to graph analysis and machine learning. It provides a mathematically rigorous definition of associative arrays and describes the properties of associative arrays that arise from this definition. Finally, the book shows how concepts of linearity can be extended to encompass associative arrays. Mathematics of Big Data can be used as a textbook or reference by engineers, scientists, mathematicians, computer scientists, and software engineers who analyze big data.