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This book constitutes the proceedings of the 22nd Annual Conference on Research in Computational Molecular Biology, RECOMB 2018, held in Paris, France, in April 2018. The 16 extended and 22 short abstracts presented were carefully reviewed and selected from 193 submissions.
This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning,... Læs mere
Major updates on techniques and subject coverage (including deep learning) are included. Topics and features: guides the... Læs mere
The first half of this go-to companion by Paul Turley provides complete coverage of the PL-300 exam objectives for desktop and self-service users, while the second half equips you with necessary best practices and practical skills for real-world success after the exam.
Transform your data and set your business up for success with this guide to improving your data quality.
Providing an up-to-date picture of the main methods for the quantitative analysis of text, this book overviews the background and the conceptual foundations of the field,... Læs mere
This book explores the concept and applications of AI-based analytics related to marketing and business. It also discusses future research... Læs mere
Authors Holden Karau, Rachel Warren, and Anya Bida walk you through the secrets of the Spark code base, and demonstrate performance optimizations that will help your data pipelines run faster, scale to larger datasets, and avoid costly antipatterns.
This book discusses the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view. It describes... Læs mere