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'Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence.'
- Prof. Terrence J. Sejnowski, Computational Neurobiologist
The main objective of this book is to create awareness about both the promises and the formidable challenges that the era of Data-Driven Decision-Making and Machine Learning are confronted with, and especially about how these new developments may influence the future of the financial industry.
The subject of Financial Machine Learning has attracted a lot of interest recently, specifically because it represents one of the most challenging problem spaces for the applicability of Machine Learning. The author has used a novel approach to introduce the reader to this topic:
'Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence.' - Prof. Terrence J. Sejnowski, Computational Neurobiologist The main objective of this book is to create awareness about both the promises and the formidable challenges that the
Recent advances in high-throughput technologies have resulted in a deluge of biological information. Yet the storage, analysis, and interpretation of such multifaceted data require effective and efficient computational tools.This unique text/reference addresses the need for a unified framework
The applications of Artificial Intelligence lie all around us; in our homes, schools and offices, in our cinemas, in art galleries and - not least - on the Internet. The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand the
Provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. Topics examined include collaborative filtering, data visualization, and edge
The first introductory textbook in the emerging, fast-developing field of computational psychiatry.Computational psychiatry applies computational modeling and theoretical approaches to psychiatric questions, focusing on building mathematical models of neural or cognitive phenomena relevant to
Covers basic mathematical, statistical and programming problems in computational statisticsAddresses both univariate and multivariate statistical data analysis and applications in finance, the life sciences and other disciplines Features R sniplets in the text and computer programs on GitHub that
Optimal Mean Reversion Trading: Mathematical Analysis and Practical Applications provides a systematic study to the practical problem of optimal trading in the presence of mean-reverting price dynamics. It is self-contained and organized in its presentation, and provides rigorous mathematical
This comprehensive review for researchers and practitioners in data mining and social networks surveys recent progress in team science. Focusing on underlying network structures, it presents models and algorithms for characterizing, predicting, optimizing, and explaining team performance, plus key
Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and
An examination of Liquidity Crunch in triggering and characterizing financial crises.Since the subprime mortgage crisis that began in 2007, advanced economies have felt a nagging sense of insecurity. In parallel, the profession has witnessed phenomena that are alien to mainstream macroeconomic
Applications of Management Science presents state-of-the-art studies in the application of management science to solve significant managerial decision-making problems. Volume 15 examines management science application to data envelopment analysis, efficiency and supply chain, quality multi-criteria
Axiom Business Book Award Silver Medalist in Business TechnologyThe indispensable guide to data-powered marketing from the team behind the data management platform that helps fuel Salesforce―the #1 customer relationship management (CRM) company in the worldA tectonic shift in the practice of
The applications of Artificial Intelligence lie all around us; in our homes, schools and offices, in our cinemas, in art galleries and -- not least -- on the Internet. The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand
Advances in artificial intelligence (AI) highlight the potential of this technology to affect productivity, growth, inequality, market power, innovation, and employment. This volume seeks to set the agenda for economic research on the impact of AI. It covers four broad themes: AI as a general
NAMED BEST MARKETING BOOK OF 2011 BY THE AMERICAN MARKETINGASSOCIATION How organizations can deliver significant performance gainsthrough strategic investment in marketingIn the new era of tight marketing budgets, no organization cancontinue to spend on marketing without knowing what's working
A data-driven exploration of how children's language learning varies across different languages, providing both a theoretical framework and reference. The Wordbank Project examines variability and consistency in children's language learning across different languages and cultures, drawing on
The rapidly growing field of computational social choice, at the intersection of computer science and economics, deals with the computational aspects of collective decision making. This handbook, written by thirty-six prominent members of the computational social choice community, covers the field
Fundamentals of Rolling Bearings.- Design of Rolling Bearings.- Contact Stresses in Rolling Bearings.- Oil-Film Thickness in Rolling Bearings.- Tribology of Rolling Bearings.- Lifetimes of Rolling Bearings.- Reliability Probability with Weibull Distribution.- Bearing Friction and Failure
Detailed and pedagogical account of computational statistical physics, this book covers both theoretical foundations of equilibrium and non-equilibrium statistical physics, and also modern, computational applications. The accessible and self-contained approach adopted by the authors makes this book
This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the
In a data-driven society, individuals and companies encounter numerous situations where private information is an important resource. How can parties handle confidential data if they do not trust everyone involved? This text is the first to present a comprehensive treatment of unconditionally
Informed Learning Applications is the latest volume of rigorous research in the Advances in Librarianship series. Edited by experienced librarian Kim L. Ranger, the eight contributions to this volume describe various practices extending Christine Bruce's informed learning theory across a range of