TY  - BOOK
AU  - Kalita, Jugal K., 
AU  - Bhattacharyya, Dhruba K., 
AU  - Roy, Swarup, 
TI  - Fundamentals of data science : : theory and practice / 
SN  - 9780323917780 [paperback]
PY  - 2024///
CY  - United Kingdom : 
PB  - Academic Press/Elsevier, 
KW  - Data science.
KW  - Machine learning.
KW  - Data mining
KW  - Big data
KW  - Mathematical statistics
N1  - Includes index.; Contents: Preface — Acknowledgement — Foreword — Foreword — 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 — 12. Big data analysis — 13. Data science in practice  — 14. Conclusion — Index; Adult
N2  - "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 and analytics.

Users will find the authors’ research experiences and achievements in data science applications, along with in-depth discussions on topics that are essential for data science projects, including pre-processing, that is carried out before applying predictive and descriptive data analysis tasks and proximity measures for numeric, categorical and mixed-type data. The book's authors include a systematic presentation of many predictive and descriptive learning algorithms, including recent developments that have successfully handled large datasets with high accuracy.

In addition, a number of descriptive learning tasks are included." --Provided by the publisher
ER  -