Data Analytics : A Quick-Start Beginner's Guide
Jan 2017 | English | ISBN-10: 1542493307 | 94 pages | EPUB | 212 kb
Data Analytics - A Quick-start Beginner's Guide

The book is an unstructured data mining quest, which takes the reader through different features of unstructured data mining while unfolding the practical                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       facets of Big Data. It emphasizes more on machine learning and mining methods required for processing and decision-making. The text begins with the introduction to the subject and explores the concept of data mining methods and models along with the applications. It then goes into detail on other aspects of Big Data analytics, such as clustering, incremental learning, multi-label association and knowledge representation. The readers are also made familiar with business analytics to create value. The book finally ends with a discussion on the areas where research can be explored.

The book is designed for the senior level undergraduate, and postgraduate students of computer science and engineering.

Here Is A Preview Of What Inside The Book:

Big data
Statistics in practice
Descriptive and Inferential Statistics
Parameters and Statistics
Statistical data analysis
Variables
SUMMARY OF THE GENERAL METHOD OF DECISION ANALYSIS
ANOTHER DECISION TREE MODEL AND ITS ANALYSIS
Making Data Work for You
Predictive Modeling Techniques
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