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Graphing Data with R: An Introduction
Graphing Data with R: An Introduction

It’s much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You’ll learn methods...

Advanced Quantitative Finance with C++
Advanced Quantitative Finance with C++

Create and implement mathematical models in C++ using Quantitative Finance

About This Book

  • Describes the key mathematical models used for price equity, currency, interest rates, and credit derivatives
  • The complex models are explained step-by-step along with a flow chart of every...
Game Analytics: Maximizing the Value of Player Data
Game Analytics: Maximizing the Value of Player Data

Developing a successful game in today’s market is a challenging endeavor. Thousands of titles are published yearly, all competing for players’ time and attention. Game analytics has emerged in the past few years as one of the main resources for ensuring game quality, maximizing success, understanding player behavior and enhancing...

Python for Finance: Analyze Big Financial Data
Python for Finance: Analyze Big Financial Data

The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects...

Practical Data Analysis
Practical Data Analysis

Transform, model, and visualize your data through hands-on projects, developed in open source tools

Overview

  • Explore how to analyze your data in various innovative ways and turn them into insight
  • Learn to use the D3.js visualization tool for exploratory data analysis
  • ...
Schaum's Outline of Linear Algebra
Schaum's Outline of Linear Algebra

This third edition of the successful outline in linear algebra--which sold more than 400,000 copies in its past two editions--has been thoroughly updated to increase its applicability to the fields in which linear algebra is now essential: computer science, engineering, mathematics, physics, and quantitative analysis. Revised coverage...

Quantum Gravitation: The Feynman Path Integral Approach
Quantum Gravitation: The Feynman Path Integral Approach
The book covers the theory of Quantum Gravitation from the point of view of Feynman path integrals. These provide a manifestly covariant approach in which fundamental quantum aspects of the theory such as radiative corrections and the renormalization group can be systematically and consistently addressed. The path integral method is suitable for...
Financial Instrument Pricing Using C++ (The Wiley Finance Series)
Financial Instrument Pricing Using C++ (The Wiley Finance Series)

The goal of this book is to model financial instruments, such as options, bonds and interest-rate products by partial differential equations, finite differences and C++. It is intended for IT and quantitative finance professionals who know this material and wish to deepen their knowledge and for those readers who use...

Geometric Algebra for Computer Science: An Object-Oriented Approach to Geometry
Geometric Algebra for Computer Science: An Object-Oriented Approach to Geometry
Geometric algebra is a powerful and practical framework for the representation and solution of geometrical problems. We believe it to be eminently suitable to those subfields of computer science in which such issues occur: computer graphics, robotics, and computer vision.We wrote this book to explain the basic structure of geometric algebra, and to...
Introduction to R for Quantitative Finance
Introduction to R for Quantitative Finance

R is a statistical computing language that's ideal for answering quantitative finance questions. This book gives you both theory and practice, all in clear language with stacks of real-world examples. Ideal for R beginners or expert alike.

Overview

  • Use time series analysis to model and forecast house...
Software Testing: Concepts and Operations (Quantitative Software Engineering Series)
Software Testing: Concepts and Operations (Quantitative Software Engineering Series)

Explores and identifies the main issues, concepts, principles and evolution of software testing, including software quality engineering and testing concepts, test data generation, test deployment analysis, and software test management

This book examines the principles, concepts, and processes that are fundamental to
...

Financial Risk Manager Handbook, Second Edition
Financial Risk Manager Handbook, Second Edition
A comprehensive reference and training guide for financial risk management

Risk professionals looking to earn the Financial Risk Manager (FRM™) certification, corporate training programs, professors, and graduate students all rely on one book for the most comprehensive and up-to-date information on financial risk management–the...

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