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Concepts of Machine Learning with Practical Approaches. Key Features ● Includes real-scenario examples to explain
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Computers can't LEARN... Right?! Machine Learning is a branch of computer science that wants to stop programming co
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This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced
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Master a range of machine learning domains with real-world projects using TensorFlow for R, H2O, MXNet, and more Key Fea
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This book presents an overview of recent methods of feature selection and dimensionality reduction that are based on Dee
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Develop and Implement your own Machine Learning Models to solve real world problems Key Features ● Introduction to Mach
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Full of case studies demonstrating how to apply each technique to real-world problems. In Unsupervised Learning with Ge
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Deploy, manage, and scale Machine Learning models with MLOps effortlessly Key Features ● Explore several ways to build
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This book focuses on recent advances, approaches, theories, and applications related Hidden Markov Models (HMMs). In par
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