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This book uncovers the idea of understanding cybersecurity management in FinTech. The book delves into understanding... Læs mere
Drawing on real world data to showcase different techniques, this practical book helps you use R for data analysis in your own research.
Above all: how can early modern forms such as the cabinets of curiosity, emblem books and the archival principleof pertinence contribute to the analyses of contemporary digital forms?
This 1989 book is about chaos, fractals and complex dynamics, and is addressed to all people who have some familiarity with... Læs mere
The goal of this book is to arm the reader to completely prevent The 5 Pitfalls of Software Implementation by using the right programmatic design and execution.... Læs mere
The papers from the proceedings of the 6th International Conference on Strategic Innovative Marketing (IC-SIM 2017) have been written by... Læs mere
This book is a product of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017) to be held in Langkawi in November 2017. Researchers in Computer Science, Mathematics and Statistics can use this book as a sourcebook to enrich their research works.
Parallel processing can be ideally suited for the solving of more complex problems in statistical computing. This book discusses code development in C++ and R, before... Læs mere
Incorporating the use of industry-standard software to help with problem solving, this book explores the subject of vibration. With a three degree-of-freedom... Læs mere
This book examines the shifting role of media trust in a digital world, and critically analyzes how news and stories are created, distributed... Læs mere
This book provides an introduction to quantitative marketing with Python. This book is designed for three groups of readers: experienced marketing researchers who wish to learn to program in Python, coming from tools and languages such as R, SAS, or SPSS;