Data Science and Its Applications

ISBN-13: 9780367608866 / Angielski / Twarda / 2021 / 358 str.

Aakanksha Sharaff; G. R. Sinha

Opis

This book discusses about data science overview, scientific methods, data processing, extraction of meaningful information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, computer programming, machine learning, data visualization, pattern recognition and others.

Spis treści

Chapter 1 Introduction to Data Science: Review, Challenges and Opportunities 
Chapter 2 Recommender Systems: Challenges and Opportunities in the Age of Big Data and Artificial Intelligence 
Chapter 3 Machine Learning for Data Science Applications 
Chapter 4 Classification and Detection of Citrus Diseases using Deep Learning 
Chapter 5 Credibility Assessment of Healthcare Related Social Media Data 
Chapter 6 Filtering and Spectral Analysis of Time Series Data: A Signal Processing Perspective and Illustrative Application to Stock Market Index Movement Forecasting 
Chapter 7 Data Science in Education 
Chapter 8 Spectral characteristics and behavioral analysis of deep brain stimulation by the nature-inspired algorithm   
Chapter 9 Visual Question Answering system using integrated models of image captioning and BERT 
Chapter 10 Deep Neural Networks for Recommender Systems 
Chapter 11 Application of Data Science in Supply Chain Management: Real-world Case Study in Logistics 
Chapter 12 A CaseStudy on Disease Diagnosis using Gene Expression Data Classification with Feature Selection  : Application of Data Science Techniques in Healthcare 
Chapter 13 Case Studies in Data Optimization using Python  
Chapter 14 Deep Parallel-Embedded BioNER Model for Biomedical Entity Extraction 
Chapter 15 Predict the Crime Rate against Women using Machine Learning Classification Techniques 
Chapter 16 Page Rank Based Extractive Text Summarization 
Chapter 17 Scene Text Analysis