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Data Sceince and Its Applications

By: Contributor(s): Language: English Publication details: CRC Press 2021Description: 358ISBN:
  • 9781032530765
Summary: 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
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books Cummins College of Engineering for Women Pune 005.74 SHA (Browse shelf(Opens below)) Available (not for issue) CCEP-BK-67367

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

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