000			01871nam a22001817a 4500
003			OSt
005			20250626113137.0
008			250626b |||||||| |||| 00| 0 eng d
020			_a9781032530765
082			_a006.3 _bSHA
100			_aSharaff, Aakanksha
245			_aData Science and Its Applications
260			_aNew York _bCRC Press _c2024
300			_axix, 358p. _c24 x 18 cm
520			_aContents: 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
700			_aSinha, G. R.
942			_2ddc _cREF
999			_c6456 _d6456