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This multi-contributed handbook will contain chapters covering IoT and Big Data, as well as case studies. The book will play a key role for the reader to understand the current scenario and growing paradigm.
The book spans almost all disciplines like: neural network, deep learning, artificial intelligence, visualization, e-learning in higher education,... Læs mere
This book will provide an integrated approach by combining data quality and process quality approaches for ensuring robust quality. When the two concepts are combined, industry can achieve rapid improvements with accurate results and decisions.
With this in-depth book, current and aspiring engineers will learn powerful, real-world best practices for managing data big and small. Contributors from notable... Læs mere
If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics.
This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant... Læs mere
This book explores the rapid expansion of data sources, visualizations, and analytics created in the last decade and explores the strategies, tools, and approaches that educators and information specialists are employing to train a new generation of data professionals.
Organizations recognize that universities are rich resource for closing their analytical talent gaps. The book addresses the benefits and challenges of working with university analytics and data science programs at the undergraduate, masters, and doctoral levels.