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Ecological Regions of North America
This volume represents a first attempt at holistically classifying and mapping ecological regions across all three countries of the North American continent. A common analytical methodology is used to examine North American ecology at multiple scales, from large continental ecosystems to subdivisions of these that correlate more detailed physical and biological settings with human activities on two levels of successively smaller units. The volume begins with an overview of North America from an ecological perspective, concepts of ecological regionalization. This is followed by descriptions of the 15 broad ecological regions, including information on physical and biological setting and human activities. The final section presents case studies in applications of the ecological characterization methodology to environmental issues. The appendix includes a list of common and scientific names of selected species characteristic of the ecological regions.
Mastering R for Quantitative Finance
This book is intended for those who want to learn how to use R's capabilities to build models in quantitative finance at a more advanced level. If you wish to perfectly take up the rhythm of the chapters, you need to be at an intermediate level in quantitative finance and you also need to have a reasonable knowledge of R.
Introduction to R for Quantitative Finance
This book is a tutorial guide for new users that aims to help you understand the basics of and become accomplished with the use of R for quantitative finance.If you are looking to use R to solve problems in quantitative finance, then this book is for you. A basic knowledge of financial theory is assumed, but familiarity with R is not required. With a focus on using R to solve a wide range of issues, this book provides useful content for both the R beginner and more experience users.
Automated Trading with R
Learn to trade algorithmically with your existing brokerage, from data management, to strategy optimization, to order execution, using free and publicly available data. Connect to your brokerage’s API, and the source code is plug-and-play. Automated Trading with R explains automated trading, starting with its mathematics and moving to its computation and execution. You will gain a unique insight into the mechanics and computational considerations taken in building a back-tester, strategy optimizer, and fully functional trading platform. The platform built in this book can serve as a complete replacement for commercially available platforms used by retail traders and small funds. Software c...
Beyond Memory
South Africa possesses one of the richest popular music traditions in the world - from marabi to mbaqanga, from boeremusiek to bubblegum, from kwela to kwaito. Yet the risk that future generations of South Africans will not know their musical roots is very real. Of all the recordings made here since the 1930s, thousands have been lost for ever, for the powers-that-be never deemed them worthy of preservation. And if one peruses the books that exist on South African popular music, one still fi nds that their authors have on occasion jumped to conclusions that were not as foregone as they had assumed. Yet the fault lies not with them, rather in the fact that there has been precious little docum...
Contextualizing Theology in the South Pacific
This book engages with a widespread contemporary dilemma—how do we do theology in a context where the cultures of the people are oral and not literate? The nations of the South Pacific, from their missionary beginnings, inherited an approach to theology that was dominated by Western cultural categories. The global movement of contextualization began to impact upon Pacific churches in the 1960s, and challenged this inherited approach. Significant changes have resulted, but the dilemma has remained. The dominant approach is still one that is defined by and better suited to literate cultures. The consequence is that theology remains an alien enterprise, distant from the life of the local chur...
Learning Quantitative Finance with R
Implement machine learning, time-series analysis, algorithmic trading and more About This Book Understand the basics of R and how they can be applied in various Quantitative Finance scenarios Learn various algorithmic trading techniques and ways to optimize them using the tools available in R. Contain different methods to manage risk and explore trading using Machine Learning. Who This Book Is For If you want to learn how to use R to build quantitative finance models with ease, this book is for you. Analysts who want to learn R to solve their quantitative finance problems will also find this book useful. Some understanding of the basic financial concepts will be useful, though prior knowledg...
Mathematical Linguistics
Mathematical Linguistics introduces the mathematical foundations of linguistics to computer scientists, engineers, and mathematicians interested in natural language processing. The book presents linguistics as a cumulative body of knowledge from the ground up: no prior knowledge of linguistics is assumed. As the first textbook of its kind, this book is useful for those in information science and in natural language technologies.
