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The authors of Big Data with Hadoop MapReduce: A Classroom Approach have framed the book to facilitate understanding big data and MapReduce by... Læs mere
The entertainment industry has long been dominated by legendary screenwriter William Goldman’s “Nobody-Knows-Anything” mantra, which argues that success is the result of managerial intuition and instinct.
This book is a detailed, empirical investigation into the question of whether academic social research can compete with the commercial sector, with its new technologies and big data, in order to classify, profile, and understand us.
A practical guide to data-intensive humanities research using the Python programming languageThe use of quantitative methods in the humanities and... Læs mere
This book will allow ecologists to get started with the application of remote sensing and to understand its potential and limitations.... Læs mere
This is a handbook on the use of CCTV in nature watching, conservation and ecological research. CCTV offers a unique ability to monitor wildlife in real time, stream video to the web, capture imagery of fast-moving species and maintain monitoring over long periods of time.
Measuring the abundance of individuals and the diversity of species are core components of most ecological research... Læs mere
Thick Big Data presents the available arsenal of new methods and tools for studying society both quantitatively and qualitatively, opening ground for the... Læs mere
The book contains a mixture of machine learning foundations, deep learning, artificial intelligence, statistics and evolutionary learning mathematics written from the usage point of view with rich explanations on what the concepts mean.
Sentiment analysis is the computational study of people's opinions, emotions, and attitudes. This comprehensive introduction covers all core... Læs mere
This book provides thorough and comprehensive coverage of most of the new and important quantitative methods of data... Læs mere
This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data... Læs mere