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STATISTICAL INFERENCE AND MACHINE LEARNING FOR BIG DATA IBD

SPRINGER
12 / 2022
9783031067853
Inglés

Sinopsis

This book presents a variety ofáadvanced statistical methods atáa level suitable foráadvanced undergraduate and graduate students as well as for others interested in familiarizing themselves witháthese important subjects. It proceeds toáillustrate these methods in theácontext ofáreal-life applications in a variety of areas such as genetics, medicine, and environmental problems.Theábook begins in Part I byáoutlining various data types and byáindicating how these are normally represented graphically and subsequently analyzed. In Part II, theábasic tools in probability and statistics are introduced with special reference to symbolic data analysis. Theámost useful and relevant results pertinent toáthis book are retained. In Part III, the focus is on the tools of machine learning whereas in Part IV the computational aspects of BIG DATA are presented.This book would serve as a handy desk reference forástatistical methods atátheáundergraduate and graduate level as well as be useful in courses which aim toáprovide an overview ofámodern statistics and its applications.