Description: Statistical Inference and Machine Learning for Big Data, Paperback by Alvo, Mayer, ISBN 303106786X, ISBN-13 9783031067860, Like New Used, Free shipping in the US 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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Book Title: Statistical Inference and Machine Learning for Big Data
Number of Pages: Xxiv, 431 Pages
Publication Name: Statistical Inference and Machine Learning for Big Data
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2023
Subject: Probability & Statistics / General, Intelligence (Ai) & Semantics, General, Databases / General
Type: Textbook
Item Weight: 39.4 Oz
Subject Area: Mathematics, Computers
Author: Mayer Alvo
Item Length: 11 in
Item Width: 8.3 in
Series: Springer Series in the Data Sciences Ser.
Format: Trade Paperback
