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Design of Intelligent Applications using Machine Learning and Deep Learning Techniques

Design of Intelligent Applications using Machine Learning and Deep Learning Techniques (Hardcover, 1)

Antonis Michalas, Narendra Shekokar, Meera Narvekar, Ramchandra Sharad Mangrulkar, Pallavi Vijay Chavan (엮은이)
Chapman and Hall/CRC
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Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
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· 제목 : Design of Intelligent Applications using Machine Learning and Deep Learning Techniques (Hardcover, 1) 
· 분류 : 외국도서 > 기술공학 > 기술공학 > 공학일반
· ISBN : 9780367679798
· 쪽수 : 446쪽
· 출판일 : 2021-08-16

목차

1. Data Acquisition and Preparation for Artificial Intelligence and Machine Learning ApplicationsKallol Bosu Roy Choudhuri, Ramchandra Mangrulkar 2. Fundamental Models in Machine Learning and Deep LearningTatwadarshi P. Nagarhalli, Ashwini M. Save, Narendra M. Shekokar 3. Research aspects of Machine Learning: Issues, Challenges and Future ScopeReena Thakur, Mayur Tembhurney, Dr. Dheeraj Rane 4. Comprehensive Analysis of Dimensionality Reduction Techniques for Machine Learning ApplicationsArchana Mire, Vinayak Elangovan, Bharti Dhote 5. Application of Deep Learning in Counting WBCs, RBCs And Blood Platelets Using Faster Region Convolutional Neural NetworkNirav Jain, Shail Shah, Ramchandra Mangrulkar, Pankaj Sonawane 6. Application of Neural Network and Machine Learning in Mental Health DiagnosisAniruddha Das, Enakshie Prasad, Sindhu Nair 7. Application of Machine Learning in Cardiac ArrhythmiaGresha S Bhatia, Shefali Athavale, Yogita Bhatia, Tanya Mohanani, Akanksha Mittal 8. Advances in Machine Learning and Deep learning Approaches for Mammographic Breast Density Measurement for Breast Cancer Risk Prediction: An overviewShivaji D Pawar, Kamal Kr Sharma, Suhas G Sapate 9. Applications of Machine Learning in Psychology, Lifestyle Diseases and Space Occupying LesionsRuhina Karani, Dharmik Patel, Akshay Chudasama, Dharmil Chhadva, Gaurang Oza 10. Application of Machine Learning and Deep learning for Thyroid Disease PredictionAditi Vora, Ramchandra Mangrulkar, Narendra Shekokar, Meera Narvekar 11. Application of Machine Learning in Fakey News DetectionSmita Vinit Bhoir, Jyoti umesh Kundale, Smita Dinesh Bharne 12. Authentication of broadcast news on social media using Machine LearningSmita Sanjay Ambarkar, Narendra Shekokar, Monika Mangla, Rakhi Akhare 13. Applications of Deep Learning in Facial RecognitionJimit Gandhi, Aditya Jeswani, Fenil Doshi, Parth Doshi, Ramchandra Mangrulkar 14. Application of Deep Learning in Deforestation Control & Prediction of forest fire calamitiesMuskan Goenka, Ramchandra Mangrulkar 15. Applications of Convolutional Neural Network in Feather ClassificationsKeval Nagda, Anirudh Mukherjee, Milind Shah, Pratik Kanani 16. Applications of Deep Learning coupled with Thermal Imaging in Detecting Water Stress in plantsSaiqa Khan, Meera Narvekar, Anam Khan, Aqdus Charolia, Mushrifah Hasan 17. Machine Learning Techniques to classify Breast CancerDrashti Shah, Ramchandra Mangrulkar 18. Application of Deep Learning in Cartography using UNET and GANDeep Gandhi, Govind Thakur, Pranit Bari, Khushali Deulkar 19. Evaluation of Intrusion Detection System With Rule Based Technique To Detect Malicious Web Spider Using Machine Learning.Nilambari G. Narkar, Narendra Shekokar 20. Application of Machine Learning to Improve Tourism IndustryKrutibash Nayak, Saroj Kumar Panigrahy 21. Training Agents to Play 2D Games using Reinforcement LearningHarshil Jhaveri, Nishay Madhani, Narendra Shekokar 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.Akash Shah, Romil Shah, Manan Gandhi, Rashmil Panchani, Govind Thakur, Kriti Srivastava 23. Application of Deep Learning in Video Question Answering SystemMansi Pandya, Arnav Parekhji, Aniket Shahane, Palak Chavan, Ramchandra Mangrulkar 24. Implementation and analysis of Machine Learning and Deep Learning algorithmsSamip Kalyani, Neel Vasani, Ramchandra Mangrulkar 25. Comprehensive Study of Failed & Semi-Failed Machine Learning Applications Using a Novel 3C ApproachNeel Patel, Prem Bhajaj, Pratik Panchal, Tanmai Prabhune, Pankaj Sonawane, Ramchandra Mangrulkar

저자소개

Antonis Michalas (엮은이)    정보 더보기
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Narendra Shekokar (엮은이)    정보 더보기
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Meera Narvekar (엮은이)    정보 더보기
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