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portada Statistical Inference and Machine Learning for Big Data
Type
Physical Book
Author
Publisher
Language
English
Pages
431
Format
Paperback
Dimensions
27.9x21x2.3 cm
Weight
1.02 kg.
ISBN13
9783031067860
Categories

Statistical Inference and Machine Learning for Big Data

Mayer Alvo (Author) · Springer · Paperback

Statistical Inference and Machine Learning for Big Data - Alvo, Mayer

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Synopsis "Statistical Inference and Machine Learning for Big Data"

This book presents a variety of advanced statistical methods at a level suitable for advanced undergraduate and graduate students as well as for others interested in familiarizing themselves with these important subjects. It proceeds to illustrate these methods in the context of real-life applications in a variety of areas such as genetics, medicine, and environmental problems. The book begins in Part I by outlining various data types and by indicating how these are normally represented graphically and subsequently analyzed. In Part II, the basic tools in probability and statistics are introduced with special reference to symbolic data analysis. The most useful and relevant results pertinent to this 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 for statistical methods at the undergraduate and graduate level as well as be useful in courses which aim to provide an overview of modern statistics and its applications.

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