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Titlebook: Concepts and Real-Time Applications of Deep Learning; Smriti Srivastava,Manju Khari,Parul Arora Book 2021 The Editor(s) (if applicable) an

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Matthew M. Peet,Catherine Bonnet,Hitay Özbays considered are support vector classifier (SVC), decision tree, and random forest. Boosting algorithms are AdaBoost, XGBoost, and CatBoost. Based on accuracy, time of processing and various performance parameters CatBoost was determined as the best algorithm to predict the survival chances of a cancer patient.
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Gravitational Radiation Experiments,ed on gait energy image and CNNs which prove that both methods have impressive performances and accuracies given a descriptive dataset. Moreover, it also tackles the above-mentioned challenges to a remarkable extent.
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