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This book introduces the reader to the tools of data management, analysis, and manipulation using R statistical software. Designed... Læs mere
This book introduces readers to tools in the R programming language for accessing and analyzing Census data, helping analysts manage these types of projects in a single computing environment.
The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods and reports the unbiased comparison results for these methods in predicting clinical outcomes based on the EHR data.
This book provides a comprehensive introduction to consumer health informatics, and focuses on designing, developing, and marketing tools... Læs mere
This book introduces artificial neural networks to students and professionals. It covers the theory and applications in statistical learning methods with concrete Python code examples.
Maintaining the advanced technical focus found in Developing Essbase Applications, this second volume is another collaborative effort by... Læs mere
This book explains the technology and a methodology known as design thinking for building smart cities. Information and communications technology... Læs mere
This book provides managers and decision-makers with the tools to make more informed decisions about big data purchasing initiatives. It not only... Læs mere
In the second edition of this practical guide, you'll learn how to conduct analytics on data where it lives, whether it's a data lake using Hive, a modern lakehouse with... Læs mere
Intermediate-Advanced user level