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.
• 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
Ms.Priyali Sakhare, Dr. Pallavi Chavan, Pournima Kulkarni, Ashwini Sarode
2. Role of Statistical methods in Data Science
Ms. Deepa Mane, Mr. Sachin Shelke
3. Real World Applications of Data Science
Dr. Baisa L. Gunjal
4. HDWR_SmartNet: A smart Handwritten Devanagari Word Recognition system using Deep ResNet based on Scan Profile Method
Dr. Shalaka Prasad Deore
5. Safe Social Distance Monitoring and Face Mask Detection for Controlling COVID-19 Spread
Nikhil Ingale, Onkar Rane, Piyush Kadam, Dr. Vivek Kumar Singh
6. Real-Time Virtual Fitness Tracker and Exercise Posture Correction
Tejas Kachare, Manisha Sinha, Siddharth Kakade, Aryan Kakade, Siddharth Nigade
7. Role of Data Science in revolutionizing healthcare
Yashsingh Manral, Siddhesh Unhavane, Jyoti Kundale
8. Application of Artificial Intelligence Techniques in the Early-stage Detection of Chronic Kidney Disease
Anindita A Khade, Dr.Amarsinh V Vidhate
9. Multi-Optimal Deep Learning Technique for Detection and Classification of Breast Cancer
Pravin Malve, Dr. Vijay S.Gulhane
10. Realising Mother’s Features Influencing Childbirth Experience towards Creation of a Dataset
Himani Deshpande, Dr. Leena Ragha
11. BERT and FastText based Research Paper Recommender System
Nemil Shah, Yash Goda, Naitik Rathod, Vatsal Khandor, Pankaj Kulkarni, Ramchandra Mangrulkar
12. Analysis and Prediction of Crime Rate against women using classification and regression Trees
P.Tamilarasi, R.Uma Rani
13. Data Analysis for Technical Business Incubation Performance Improvement
Swati Shekapure, Nitin Shekapure
14. Satellite Imagery Based Wildfire Detection Using Deep Learning
Mr. Anant Kaulage, Mr. Sagar Rane, Dr. Sunil Dhore
15. Low Resource Language Document Summarization: A challenge
Pranjali Deshpande, Dr. Sunita Jahirabadkar
16. Eclectic Analysis of Classifiers for Fake News Detection
Vatsal Khandor, Yashvi Shah, Krutik Shah, Nitin Goje, Ramchandra Mangrulkar
17. Data Science and Machine Learning Applications for Mental Health
Dhruvi Khankhoje, Pruthav Jhaveri, Dr. Narendra M. Shekokar
18. Analysis of Ancient and Modern Meditation Techniques on Human Mind and Body and its Effectiveness in Covid-19 Pandemic
Abhijeet Kushwah, Tirth Pandya, Prarthana Dokh, Pratik Koul, Dr. Pallavi Chavan, Shreeraj Vijayan, Vishal Shrivastava