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assets and markets and correlates them with enterprises' profitability * Introduces advanced and novel machine learning techniques in finance;
Vergelijkbare producten zoals The Essentials of Machine Learning in Finance and Accounting
assets and markets and correlates them with enterprises' profitability * Introduces advanced and novel machine learning techniques in finance;
Vergelijkbare producten zoals The Essentials of Machine Learning in Finance and Accounting
If you want to learn how to develop effective machine learning solutions to your business problems in R, this book is for you. It would be;
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DESCRIPTION Being able to make near-real-time decisions is becoming increasingly crucial. To succeed, we need machine learning;
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Implement neural network models in R 3.5 using TensorFlow, Keras, and MXNet Key Features Use R 3.5 for building deep learning models for;
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This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future;
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This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future;
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Build and run intelligent applications by leveraging key Java machine learning libraries About This Book * Develop a sound strategy to;
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latest advances in graph signal processing. A range of key concepts are clearly explained, including learning, adaptation, optimization, control;
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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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Work smarter with machine learning! Begin with core machine learning concepts-types of learning, algorithms, data preparation, and more;
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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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Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering;
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Want an accurate account of learning and conditioning--the essentials --without excessive detail? Michael Domjan's THE ESSENTIALS;
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"Explore machine learning in Rust and learn about the intricacies of creating machine learning applications"--;
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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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Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size;
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and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share;
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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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This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning;
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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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Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world;
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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 is the study of building computer programs that improve their performance through experience. To meet the challenge;
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in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network;
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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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