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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 (Paperback, 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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책 정보

· 제목 : Design of Intelligent Applications using Machine Learning and Deep Learning Techniques (Paperback, 1) 
· 분류 : 외국도서 > 컴퓨터 > 사이버네틱스
· ISBN : 9780367679897
· 쪽수 : 446쪽
· 출판일 : 2025-03-12

목차

1. Data Acquisition and Preparation for Artificial Intelligence and Machine Learning Applications

2. Fundamental Models in Machine Learning and Deep Learning

3. Research Aspects of Machine Learning: Issues, Challenges, and Future Scope

4. Comprehensive Analysis of Dimensionality Reduction Techniques for Machine Learning Applications

5. Application of Deep Learning in Counting WBCs, RBCs, and Blood Platelets Using Faster Region-Based Convolutional Neural Network

6. Application of Neural Network and Machine Learning in Mental Health Diagnosis

7. Application of Machine Learning in Cardiac Arrhythmia

8. Advances in Machine Learning and Deep Learning Approaches for Mammographic Breast Density Measurement for Breast Cancer Risk Prediction: An Overview

9. Applications of Machine Learning in Psychology and the Lifestyle Disease Diabetes Mellitus

10. Application of Machine Learning and Deep Learning in Thyroid Disease Prediction

11. Application of Machine Learning in Fake News Detection

12. Authentication of Broadcast News on Social Media Using Machine Learning

13. Application of Deep Learning in Facial Recognition

14. Application of Deep Learning in Deforestation Control and Prediction of Forest Fire Calamities

15. Application of Convolutional Neural Network in Feather Classifications

16. Application of Deep Learning Coupled with Thermal Imaging in Detecting Water Stress in Plants

17. Machine Learning Techniques to Classify Breast Cancer

18. Application of Deep Learning in Cartography Using UNet and Generative Adversarial Network

19. Evaluation of Intrusion Detection System with Rule-Based Technique to Detect Malicious Web Spiders Using Machine Learning

20. Application of Machine Learning to Improve Tourism Industry

21. Training Agents to Play 2D Games Using Reinforcement Learning

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

23. Application of Deep Learning in Video Question Answering System

24. Implementation and Analysis of Machine Learning and Deep Learning Algorithms

25. Comprehensive Study of Failed Machine Learning Applications Using a Novel 3C Approach

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