Problems and Solutions in Mathematical Finance Volume 1 Stochastic Calculus 英文无水印pdf pdf使用FoxitReader和PDF-XChangeViewer测试可以打开 本人上传的pdf,如果原pdf有水印或书签不正常,本人都会删除水印和修正书签,是全网最好版本
2022-02-09 21:48:22 4.21MB Mathematical Finance Stochastic Calculus
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属于入门级的java学习书籍,因为是全英文版,故适合有一定英语水平的同学学习,此文档为全高清pdf,共758页
2022-02-06 17:07:43 10.95MB java
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来自于斯坦福大学统计学院Hastie教授的经典教材,(ESL高清彩色英文+中文)The Elements of Statistical Learning。内容广泛,包括有监督学习、无监督学习等等,是从事数据挖掘和机器学习研究的经典教材。
2022-01-22 23:14:56 52.46MB 数据挖掘 机器学习 统计学习
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Stochastic Network Optimization with Application to Communication and Queueing Systems 外文书籍
2022-01-22 15:35:53 1.99MB 外文书籍 网络优化
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Emil Bjornson, Jakob Hoydis, Lucas Sanguinetti编著,完整版
2022-01-20 21:50:55 9.44MB 通信 Massive MIMO
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Adobe Photoshop Elements 2022 (x64) Pre-Cracked
2022-01-20 19:10:02 83KB photoshop ui
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Big Data Science & Analytics: A Hands-On Approach By 作者: Arshdeep Bahga – Vijay Madisetti ISBN-10 书号: 0996025537 ISBN-13 书号: 9780996025539 Edition 版本: 1 出版日期: 2016-04-15 pages 页数: (542 ) The book is organized into three main parts, comprising a total of twelve chapters. Part I provides an introduction to big data, applications of big data, and big data science and analytics patterns and architectures. A novel data science and analytics application system design methodology is proposed and its realization through use of open-source big data frameworks is described. This methodology describes big data analytics applications as realization of the proposed Alpha, Beta, Gamma and Delta models, that comprise tools and frameworks for collecting and ingesting data from various sources into the big data analytics infrastructure, distributed filesystems and non-relational (NoSQL) databases for data storage, processing frameworks for batch and real-time analytics, serving databases, web and visualization frameworks. This new methodology forms the pedagogical foundation of this book. Part II introduces the reader to various tools and frameworks for big data analytics, and the architectural and programming aspects of these frameworks as used in the proposed design methodology. We chose Python as the primary programming language for this book. Other languages, besides Python, may also be easily used within the Big Data stack described in this book. We describe tools and frameworks for Data Acquisition including Publish-subscribe messaging frameworks such as Apache Kafka and Amazon Kinesis, Source-Sink connectors such as Apache Flume, Database Connectors such as Apache Sqoop, Messaging Queues such as RabbitMQ, ZeroMQ, RestMQ, Amazon SQS and custom REST-based connectors and WebSocket-based connectors. The reader is introduced to Hadoop Distributed File System (HDFS) and HBase non-relational database. The batch analysis chapter provides an in-depth study of frameworks such as Hadoop-MapReduce, Pig, Oozie, Spark and Solr. The real-time analysis chapter focuses on Apache Storm and Spark Streaming frameworks. In the chapter on interactive querying, we describe with the help of examples, the use of frameworks and services such as Spark SQL, Hive, Amazon Redshift and Google BigQuery. The chapter on serving databases and web frameworks provide an introduction to popular relational and non-relational databases (such as MySQL, Amazon DynamoDB, Cassandra, and MongoDB) and the Django Python web framework. Part III focuses advanced topics on big data including analytics algorithms and data visualization tools. The chapter on analytics algorithms introduces the reader to machine learning algorithms for clustering, classification, regression and recommendation systems, with examples using the Spark MLlib and H2O frameworks. The chapter on data visualization describes examples of creating various types of visualizations using frameworks such as Lightning, pygal and Seaborn.
2022-01-20 16:30:49 108.43MB DESIGN
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The Second Edition of this best-selling book expands its advanced approach to financial risk models by covering market, credit, and integrated risk. With new data that cover the recent financial crisis, it combines Excel-based empirical exercises at the end of each chapter with online exercises so readers can use their own data. Its unified GARCH modeling approach, empirically sophisticated and relevant yet easy to implement, sets this book apart from others. Five new chapters and updated end-of-chapter questions and exercises, as well as Excel-solutions manual, support its step-by-step approach to choosing tools and solving problems.
2022-01-18 11:04:38 4.14MB Financial Ri Christoffers
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可以称为国外的通信原理,里边讲述的都是数字通信的一些基本原理
2022-01-17 16:34:51 31.06MB 通信
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解压密码:123 安装说明:https://blog.csdn.net/hongfu951/article/details/118517942 ae模板VideoHive - Hand Drawn Elements [DRP]免费下载 这是一个完整的包,其中包含广泛的手绘元素,如箭头,演讲气球,线和其他给你无限的创作可能性。 它为内容创造者提供了广泛的先进工具,使他们能够改善项目、广告、幻灯片、视频游戏、预告片、电影、电视节目等的外观。 该程序还允许您组合元素,使优秀的文本和标志动画。