Design of intelligent applications using machine learning and deep learning techniques / edited by Ramchandra S. Mangrulkar, [and 4 others].

Includes bibliographical references and index.

Data acquisition and preparation for artificial intelligence and machine learning -- Fundamental models in machine learning and deep learning -- Research aspects of machine learning: issues, challenges, and future scope -- Comprehensive analysis of dimensionality reduction techniques for machine learning applications -- Application pf deep learning in counting WBC's, RBCs, and blood platelets using faster region-based convolutional neural network -- Application of neural network and machine learning in mental health diagnosis -- Application of machine learning in cardiac arrhythmia -- Advances in machine learning and deep learning approaches for mammographic breast density measurement for breast cancer risk prediction: an overview -- Applications of machine learning psychology and the lifestyle disease diabetes -- Application of machine learning and deep learning in thyroid disease prediction -- Application of machine learning in fake news detection -- Authentication of broadcast news on social media using machine learning -- Application of deep learning in facial recognition -- Application of deep learning ion deforestation control and prediction -- Application of convolutional neural network in feather classifications -- Application of deep learning coupled with thermal imaging in detecting water stress in plants -- Machine learning techniques to classify breast cancer -- Application of deep learning in cartography using UNet and generative adversarial network -- Evaluation of intrusion detection system with rule-based technique to detect malicious web spiders using machine learning -- Application of machine learning to improve tourism industry -- Training agents to play 2D games using reinforcement learning -- Analysis of the effectiveness of the non-vaccine countermeasures taken by the Indian government against COVID-19 and forecasting using machine learning and deep -- Application of deep learning in video question answering system -- Implementation and analysis of machine learning and deep learning algorithms -- Comprehensive study of failed machine learning applications using a novel 3C approach.