This book is a comprehensive introduction to financial modeling that teaches advanced undergraduate and graduate students in finance and economics how to use R to analyze financial data and implement financial models. This text will show students ho
The launch of this book commemorates the 20th anniversary of the first internal release of MySQL in 1995. MySQL was one of the first open source programs to show the world the potential of developing a business around open source, and was a pioneer
Machine learning is one of the fastest growing trends in modern computing. It has applications in a wide range of fields, including economics, the natural sciences, web development, and business modeling. In order to harness the power of these syste
Design efficient machine learning systems that give you more accurate results About This Book Gain an understanding of the machine learning design process Optimize machine learning systems for improved accuracy Understand common programming tools an
Generate and Analyze Multi-Level Data Spatial microsimulation involves the generation, analysis, and modeling of individual-level data allocated to geographical zones. Spatial Microsimulation with R is the first practical book to illustrate this app
Every day decision making in complex human-centric systems are characterized by imperfect decision-relevant information. The principal problems with the existing decision theories are that they do not have capability to deal with situations in which
This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; the
Few organizations understand how to extract insights and value from the recent explosion of “Big Data.” With a billion plus users on the online social graph doing what they like to do and leaving a digital trail, and with trillions of sensors now be
Java 9 Programming By Example by Peter Verhas English | 26 Apr. 2017 | ASIN: B01KOG6SWI | 504 Pages | AZW3 | 4.1 MB Key Features We bridge the gap between “learning” and “doing” by providing real-world examples that will improve your software develo
Intelligent Analytics for your Intelligent devices 针对智能设备的数据智能分析 Book Descr iption Break through the hype and learn how to extract actionable intelligence from the flood of IoT data About This Book Make better business decisions and acquire greater
区块链英文书籍Melanie Swan所写 1. Blockchain 1.0: Currency Technology Stack: Blockchain, Protocol, Currency 1 The Double-Spend and Byzantine Generals’ Computing Problems 2 How a Cryptocurrency Works 3 eWallet Services and Personal Cryptosecurity 3 Merchant A
Statistical Reinforcement Learning: Modern Machine Learning Approaches Masashi Sugiyama Taylor & Francis, 16 Mar 2015 - Business & Economics - 206 pages Reinforcement learning is a mathematical framework for developing computer agents that can learn
Authors Krishna B. Athreya Soumendra N. Lahiri Copyright 2006 Publisher Springer-Verlag New York DOI 10.1007/978-0-387-35434-7 This is a graduate level textbook on measure theory and probability theory. The book can be used as a text for a two semes
In this book, we develop a Machine Learning framework to predict economic growth and the likelihood of recessions. In such a framework, different algorithms are trained to identify an internally validated set of correlates of a particular target wit
Mathematics Review and introduction to Scilab Programming and Data Presentation Probability and statistics applications Calculus applications Differential equations Economics General emphasis specific review Optimization System reliability Project s
Several fields in computer science and economics are focused on the analysis of Game theory. Usually they observe Game Theory as a way to solve optimization problems in systems where the participants act independently and their decisions affect the
