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This book presents ground-breaking advances in the domain of causal structure learning. The problem of distinguishing cause from effect;
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This book investigates the application of promising machine learning techniques to address two problems: (i) how to find profitable pairs;
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. After all, time travel, prima facie, appears to violate a fundamental law of nature; every effect has a cause, with the cause occurring before;
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A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The;
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This book presents a unique, understandable view of machine learning using many practical examples and access to free professional software;
Vergelijkbare producten zoals The Application of Artificial Intelligence
This book presents a unique, understandable view of machine learning using many practical examples and access to free professional software;
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Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil;
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This book uses machine-learning to identify the causes of conflict from among the top predictors of conflict. This methodology elevates;
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Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction;
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This is the third in a series of edited volumes exploring the evolving landscape of learning systems research which spans theory and;
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effect -- while learning from different approaches in the literature but without favouring any one of them (nor integrating them, since they are;
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effect -- while learning from different approaches in the literature but without favouring any one of them (nor integrating them, since they are;
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Written for developers with some understanding of deep learning algorithms. Experience with reinforcement learning is not required;
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Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn;
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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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forces or explaining them away as nothing but cause-and-effect mechanisms? In Neither Ghost nor Machine, Jeremy Sherman explains the emergence;
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forces or explaining them away as nothing but cause-and-effect mechanisms? In Neither Ghost nor Machine, Jeremy Sherman explains the emergence;
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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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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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minimize actions that cause them to stop engaging or unsubscribe altogether. * Identifying processes suited to machine learning;
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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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