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Artificial intelligence, and especially its application to chemistry, is an exciting and rapidly expanding area of research. This volume;
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sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics;
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Implement machine learning models in your iOS applications. This short work begins by reviewing the primary principals of machine learning;
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Database developers and administrators will use this book to learn how to deploy machine learning models in Oracle Database and in Oracle's;
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Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies;
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Work smarter with machine learning! Begin with core machine learning concepts-types of learning, algorithms, data preparation, and more;
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The Era of Artificial Intelligence, Machine Learning and Data Sciencein the Pharmaceutical Industry examines the drug discovery process;
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Machine learning is the study of building computer programs that improve their performance through experience. To meet the challenge;
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"Explore machine learning in Rust and learn about the intricacies of creating machine learning applications"--;
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A guide to advances in machine learning for financial professionals, with working Python code Key Features Explore advances in machine;
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Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data;
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Explore machine learning in Rust and learn about the intricacies of creating machine learning applications. This book begins by covering;
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Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs;
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Machine Learning in Healthcare discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. It;
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Machine Learning in Marketing discusses the central role that artificial intelligence (AI) and, more specifically, machine learning can;
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Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you'll learn how to;
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Most machine learning systems that are deployed in the world today learn from human feedback. However, most machine learning courses focus;
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Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition;
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This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep;
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Prepare to achieve AWS Machine Learning Specialty certification with this complete, up-to-date guide and take the exam with confidence;
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The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements;
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Automate data and model pipelines for faster machine learning applications Key Features Build automated modules for different machine;
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and increasing student learning. Active Learning in General Chemistry: Specific Interventions focuses on evidence-based active learning;
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Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies;
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Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies;
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Reinforcement and Systemic Machine Learning for Decision Making explores a newer and growing avenue of machine learning algorithm in the;
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