Data Science : Techniques and Intelligent Applications

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Data Science : Techniques and Intelligent Applications

Chavan, Pallavi Vijay (EDT)/ Mahalle, Parikshit N (EDT)/ Mangrulkar, Ramchandra (EDT)

ウェブストア価格 ¥37,254（本体¥33,868）
Chapman & Hall/CRC（2022/08発売）
外貨定価 US$ 180.00
ポイント 338pt

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製本 Hardcover:ハードカバー版／ページ数 308 p.
言語 ENG
商品コード 9781032254494
DDC分類 005.7

Full Description

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.

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