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Topological data analysis (TDA) has emerged recently as a viable tool for analyzing complex data in applied domains. This comprehensive text covers the current... Læs mere
Put the consumer back into the heart of your campaigns with this bestselling guide to user experience and research, offering practical and straightforward advice on the most up-to-date research methods.
Practical Time Series Analysis for Data Science is an accessible guide that doesn’t require a background in calculus to be engaging but does not shy away from deeper explanations of the techniques discussed.
Chunyan Li is a course instructor with many years of experience in teaching about time series analysis. His book is essential for... Læs mere
This book aims to build and prompt the field of Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications,... Læs mere
This book focuses on big data in business intelligence, data management, machine learning, cloud computing, and smart cities. It also provides an interdisciplinary platform to present and discuss recent innovations, trends, and concerns in the fields of big data and analytics.
This book aims to apply data mining and analytic techniques to past workplace accident data to discover patterns that facilitate the development of innovative models and strategies.
The use of language corpora, or large samples of natural texts, has become ubiquitous in linguistic... Læs mere
The use of language corpora, or large samples of natural texts, has become ubiquitous in linguistic... Læs mere
A systematic introduction to the theory, algorithms, and applications of key mathematical models for... Læs mere
This book guides readers from the very start of their journey in discovering data and all its uses to implementing... Læs mere