. 1 online resource : , <P>1. Data Acquisition and Preparation for Artificial Intelligence and Machine Learning Applications</P><I><P>Kallol Bosu Roy Choudhuri and Ramchandra S. Mangrulkar</P></I><B><P>2. Fundamental Models in Machine Learning and Deep Learning</P></B><I><P>Tatwadarshi P. Nagarhalli, Ashwini M. Save, and Narendra M. Shekokar</P></I><B><P>3. Research Aspects of Machine Learning: Issues, Challenges, and Future Scope</P></B><I><P>Reena Thakur, Mayur Tembhurney, and Dheeraj Rane</P></I><B><P>4. Comprehensive Analysis of Dimensionality Reduction Techniques for Machine Learning Applications</P></B><I><P>Archana Vasant Mire, Vinayak Elangovan, and Bharti Dhote</P></I><B><P>5. Application of Deep Learning in Counting WBCs, RBCs, and Blood Platelets Using Faster Region-Based Convolutional Neural Network</P></B><I><P>Nirav Jain, Shail Shah, Ramchandra S. Mangrulkar, and Pankaj Sonawane</P></I><B><P>6. Application of Neural Network and Machine Learning in Mental Health Diagnosis</P></B><I><P>Aniruddha Das, Enakshie Prasad, and Sindhu Nair</P></I><B><P>7. Application of Machine Learning in Cardiac Arrhythmia</P></B><I><P>Gresha S. Bhatia, Shefali Athavale, Yogita Bhatia, Tanya Mohanani, and Akanksha Mittal</P></I><B><P>8. Advances in Machine Learning and Deep Learning Approaches for Mammographic Breast Density Measurement for Breast Cancer Risk Prediction: An Overview</P></B><I><P>Shivaji D. Pawar, Kamal Kr. Sharma, and Suhas G. Sapate</P></I><B><P>9. Applications of Machine Learning in Psychology and the Lifestyle Disease Diabetes Mellitus</P></B><I><P>Ruhina Karani, Dharmik Patel, Akshay Chudasama, Dharmil Chhadva, and Gaurang Oza</P></I><B><P>10. Application of Machine Learning and Deep Learning in Thyroid Disease Prediction</P></B><I><P>Aditi Vora, Ramchandra S. Mangrulkar, Narendra M. Shekokar, and Meera Narvekar</P></I><B><P>11. Application of Machine Learning in Fake News Detection</P></B><I><P>Smita Bhoir, Jyoti Kundale, and Smita Bharne</P></I><B><P>12. Authentication of Broadcast News on Social Media Using Machine Learning</P></B><I><P>Smita Sanjay Ambarkar, Narendra M. Shekokar, Monika Mangla, and Rakhi Akhare</P></I><B><P>13. Application of Deep Learning in Facial Recognition</P></B><I><P>Jimit Gandhi, Aditya Jeswani, Fenil Doshi, Parth Doshi, and Ramchandra S. Mangrulkar</P></I><B><P>14. Application of Deep Learning in Deforestation Control and Prediction of Forest Fire Calamities</P></B><I><P>Muskan Goenka and Ramchandra S. Mangrulkar</P></I><B><P>15. Application of Convolutional Neural Network in Feather Classifications</P></B><I><P>Milind Shah, Keval Nagda, Anirudh Mukherjee, and Pratik Kanani</P></I><B><P>16. Application of Deep Learning Coupled with Thermal Imaging in Detecting Water Stress in Plants</P></B><I><P>Saiqa Khan, Meera Narvekar, Anam Khan, Aqdus Charolia, and Mushrifah Hasan</P></I><B><P>17. Machine Learning Techniques to Classify Breast Cancer</P></B><I><P>Drashti Shah and Ramchandra S. Mangrulkar</P></I><B><P>18. Application of Deep Learning in Cartography Using UNet and Generative Adversarial Network</P></B><I><P>Deep Gandhi, Govind Thakur, Pranit Bari, and Khushali Deulkar</P></I><B><P>19. Evaluation of Intrusion Detection System with Rule-Based Technique to Detect Malicious Web Spiders Using Machine Learning</P></B><I><P>Nilambari G. Narkar and Narendra M. Shekokar</P></I><B><P>20. Application of Machine Learning to Improve Tourism Industry</P></B><I><P>Krutibash Nayak and Saroj Kumar Panigrahy</P></I><B><P>21. Training Agents to Play 2D Games Using Reinforcement Learning</P></B><I><P>Harshil Jhaveri, Nishay Madhani, and Narendra M. Shekokar</P></I><B><P>22. Analysis of the Effectiveness of the Non-Vaccine Countermeasures Taken by the Indian Government against COVID-19 and Forecasting Using Machine Learning and Deep Learning</P></B><I><P>Akash Shah, Romil Shah, Manan Gandhi, Rashmil Panchani, Govind Thakur, and Kriti Srivastava</P></I><B><P>23. Application of Deep Learning in Video Question Answering System</P></B><I><P>Mansi Pandya, Arnav Parekhji, Aniket Shahane, Palak V. Chavan, and Ramchandra S. Mangrulkar</P></I><B><P>24. Implementation and Analysis of Machine Learning and Deep Learning Algorithms</P></B><I><P>Samip Kalyani, Neel Vasani, and Ramchandra S. Mangrulkar</P></I><B><P>25. Comprehensive Study of Failed Machine Learning Applications Using a Novel 3C Approach</P></B><I><P>Neel Patel, Prem Bhajaj, Pratik Panchal, Tanmai Prabhune, Pankaj Sonawane, and Ramchandra S. Mangrulkar</P></I><B><P>Index</P></B> 9781000423884 | 1000423883 | 9781000423839 | 1000423832 | 9781003133681 | 1003133681

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