Machine Learning and Data Science, Fundamentals and Applications, Wiley, John Wiley & Sons,Digital and Information technology: general topics,Computing and Information Technology, Machine Learning; Domain knowledge; Classification; Clustering; Regression; Optimization methods; Reinforcement learning; Model selection and complexity; Data Science; Data preprocessing;Data visualization techniques; Deep learning;Data analytics; Feature engineering; Feature embedding;Pattern recognition; Knowledge discovery; High-performance computing; Predication, detection and identification of cyber threat; Financial data engineering; Medical imaging and health informatics; Game Playing Algorithms;Drug designing and discovery; Bioinformatics' and biometrics; Time series forecasting techniques;Analysis of Evolving Social Networks;Augmented Reality; Computer Vision; Autonomous systems; Online Recommender Systems; Reproducibility; IoT and Big Data analytics; Cloud computing; Blockchain; Crypto-currencies; Industry 4.0; Natural language processing; Sustainable environment; Randomized methods for development of neural networks; Multisensory information fusion and sensor networking systems; Adaptive neuro-fuzzy inference systems and evolving intelligent systems; Control and fault diagnosis for engineering systems; Signal processing; Speech recognition; Intelligent software; Implementation of machine intelligence systems; Privacy preserving; Scientific data management; Network analysis; Scalable computing; Scientific web services; Executable workflows; Real time decision making,, , United States, en-UShttps://www.wiley.comMachine Learning; Domain knowledge; Classification; Clustering; Regression; Optimization methods; Reinforcement learning; Model selection and complexity; Data Science; Data preprocessing;Data visualization techniques; Deep learning;Data analytics; Feature engineering; Feature embedding;Pattern recognition; Knowledge discovery; High-performance computing; Predication, detection and identification of cyber threat; Financial data engineering; Medical imaging and health informatics; Game Playing Algorithms;Drug designing and discovery; Bioinformatics' and biometrics; Time series forecasting techniques;Analysis of Evolving Social Networks;Augmented Reality; Computer Vision; Autonomous systems; Online Recommender Systems; Reproducibility; IoT and Big Data analytics; Cloud computing; Blockchain; Crypto-currencies; Industry 4.0; Natural language processing; Sustainable environment; Randomized methods for development of neural networks; Multisensory information fusion and sensor networking systems; Adaptive neuro-fuzzy inference systems and evolving intelligent systems; Control and fault diagnosis for engineering systems; Signal processing; Speech recognition; Intelligent software; Implementation of machine intelligence systems; Privacy preserving; Scientific data management; Network analysis; Scalable computing; Scientific web services; Executable workflows; Real time decision making, [BLURB],[CITY],,books, ebooks, biblet, Book2look