Fundamentals of data science : theory and practice /

Fundamentals of Data Science: Theory and Practice presents basic and advanced concepts in data science along with real-life applications. The book provides students, researchers and professionals at different levels a good understanding of the concepts of data science, machine learning, data mining...

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Bibliographic Details
Main Authors:	Kalita, Jugal Kumar (Author), Bhattacharyya, Dhruba K. (Author), Roy, Swarup (Computer scientist) (Author)
Corporate Author:	ScienceDirect (Online service)
Format:	eBook
Language:	English
Published:	London ; San Diego, CA : Academic Press, [2024]
Subjects:	Big data. Data mining. Electronic data processing. Information science. Données volumineuses. Exploration de données (Informatique) Sciences de l'information. information science. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

1 Introduction
2 Data, sources, and generation
3 Data preparation
4 Machine learning
5 Regression
6 Classification
7 Artificial neural networks
8 Feature Selection
9 Cluster analysis
10 Ensemble learning
11 Association-rule mining
Big data analysis
13 Data science in practice
14 Conclusion