Publication year: 2020
ISBN: 1119654742
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Showcase novel use-cases and applications, present empirical research results from user-centered qualitative and quantitative experiments of these new applications, and facilitate a discussion forum to explore the latest trends in big data and machine learning by providing algorithms which can be trained to perform interdisciplinary techniques such as statistics, linear algebra, and optimization and also create automated systems that can sift through large volumes of data at high speed to make predictions or decisions without human intervention
Subject: Machine learning, Big data, Pattern Recognition, Data preprocess, Machine Learning, Algorithms, Multi-Variate Datasets, Unsupervised Learning, Semi-Supervised Learning, Reinforcement Learning, Transfer Learning, Intrusion Detection System,