Stochastic Modelling of Big Data in Finance provides a rigorous overview and exploration of sto-
chastic modelling of big data in finance (BDF). The book describes various stochastic models,
including multivariate models, to deal with big data in finance.
Teaching at Scale explores the characteristics and parameters of large-scale online learning by identifying, in its perceived drawbacks, a wealth of educational opportunities in disguise. Scalable learning platforms have exploded in popularity over recent years, with MOOCS (massive open online courses), online degree programs, informal learning communities, and alternative credentials all drawing significant enrollments. But, as many educators are asking, are the challenges to delivering education at scale too great and the compromises too many?
Public relations is a uniquely pervasive force in our modern economy, influencing every aspect of our lives from the personal to the political. This comprehensive volume provides an expert overview of current scholarship, reflecting the impact of technology, society, and demographic shifts in a complex global environment.
Mastering Flutter helps the reader master the popular Flutter framework for rapid cross-platform app development.
Mobile applications grow in popularity every year, and developers keep looking for new tools to help them design them. A Google-backed, free and open-source mobile user interface framework, Flutter, stands out among these products.
MATLAB: A Practical Introduction to Programming and Problem Solving, winner of TAA’s 2017 Textbook Excellence Award (“Texty”), guides the reader through both programming and built-in functions to easily exploit MATLAB’s extensive capabilities for tackling engineering and scientific problems. Assuming no knowledge of programming, this book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept and the power of MATLAB. The sixth edition has been updated to reflect the functionality of the current version of MATLAB (R2021a), including the introduction of machine learning concepts and the Machine Learning Toolbox, and new sections on data formats and data scrubbing.
Smart Cities: Blockchain-Based Systems, Networks, and Data examines the various components that make up a smart city. It focuses on infrastructure, processes, and services and outlines approaches for services such as health, transport, energy, and more. With an underlying emphasis on blockchain networks, the authors examine ways to provide the management of resources and activities by creating a more secure and trustless operating systems where resources are more effectively allocated and managed.
