Data Science
eBook - ePub

Data Science

Techniques and Intelligent Applications

  1. 308 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Data Science

Techniques and Intelligent Applications

About this book

This book covers the topic of data science in a comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached its maturity. The book starts with the basic concepts of data science. It highlights the types of data and their use and importance, followed by a discussion on a wide range of applications of data science and widely used techniques in data science.

Key Features

• Provides an internationally respected collection of scientific research methods, technologies and applications in the area of data science.

• Presents predictive outcomes by applying data science techniques to real-life applications.

• Provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods.

• Gives the reader a variety of intelligent applications that can be designed using data science and its allied fields.

The book is aimed primarily at advanced undergraduates and graduates studying machine learning and data science. Researchers and professionals will also find this book useful.

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Yes, you can access Data Science by Pallavi Vijay Chavan, Parikshit N Mahalle, Ramchandra Mangrulkar, Idongesit Williams, Pallavi Vijay Chavan,Parikshit N Mahalle,Ramchandra Mangrulkar,Idongesit Williams in PDF and/or ePUB format, as well as other popular books in Economics & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2022
Print ISBN
9781032254494
eBook ISBN
9781000613476
Edition
1
Topic
Economics
Subtopic
Computer Science General
Index
Economics

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. Editors
  8. Contributors
  9. 1. Instigation and Development of Data Science
  10. 2. Role of Statistical Methods in Data Science
  11. 3. Real-World Applications of Data Science
  12. 4. HDWR_SmartNet: A Smart Handwritten Devanagari Word Recognition System Using Deep ResNet-Based on Scan Profile Method
  13. 5. Safe Social Distance Monitoring and Face Mask Detection for Controlling COVID-19 Spread
  14. 6. Real-Time Virtual Fitness Tracker and Exercise Posture Correction
  15. 7. Role of Data Science in Revolutionizing Healthcare
  16. 8. Application of Artificial Intelligence Techniques in the Early-Stage Detection of Chronic Kidney Disease
  17. 9. Multi-Optimal Deep Learning Technique for Detection and Classification of Breast Cancer
  18. 10. Realizing Mother’s Features Influential on Childbirth Experience, towards Creation of a Dataset
  19. 11. BERT- and FastText-Based Research Paper Recommender System
  20. 12. Analysis and Prediction of Crime Rate against Women Using Classification and Regression Trees
  21. 13. Data Analysis for Technical Business Incubation Performance Improvement
  22. 14. Satellite Imagery-Based Wildfire Detection Using Deep Learning
  23. 15. Low-Resource Language Document Summarization: A Challenge
  24. 16. Eclectic Analysis of Classifiers for Fake News Detection
  25. 17. Data Science and Machine Learning Applications for Mental Health
  26. 18. Analysis of Ancient and Modern Meditation Techniques on Human Mind and Body and Their Effectiveness in COVID-19 Pandemic
  27. Index