TY  - BOOK
AU  - Sharaff, Aakanksha
AU  - Sinha, G. R.
TI  - Data Science and Its Applications
SN  - 9781032530765
U1  - 006.3 
PY  - 2024///
CY  - New York
PB  - CRC Press
N2  - Contents:

1.    Introduction to Data Science: Review, Challenges and Opportunities

2.    Recommender Systems: Challenges and Opportunities in the Age of Big Data and Artificial Intelligence

3.    Machine Learning for Data Science Applications

4.    Classification and Detection of Citrus Diseases using Deep Learning

5.    Credibility Assessment of Healthcare Related Social Media Data

6.    Filtering and Spectral Analysis of Time Series Data: A Signal Processing Perspective and Illustrative Application to Stock Market Index Movement Forecasting

7.    Data Science in Education

8.    Spectral characteristics and behavioral analysis of deep brain stimulation by the nature-inspired algorithm

9.    Visual Question Answering system using integrated models of image captioning and BERT

10. Deep Neural Networks for Recommender Systems

11. Application of Data Science in Supply Chain Management: Real-world Case Study in Logistics

12. A Case Study on Disease Diagnosis using Gene Expression Data Classification with Feature Selection: Application of Data Science Techniques in Healthcare

13. Case Studies in Data Optimization using Python

14. Deep Parallel-Embedded BioNER Model for Biomedical Entity Extraction

15. Predict the Crime Rate against Women using Machine Learning Classification Techniques

16. Page Rank Based Extractive Text Summarization

17. Scene Text Analysis
ER  -