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Master machine learning concepts and develop real-world solutions Machine learning offers immense opportunities, and;
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Use machine learning and Oracle Business Intelligence Enterprise Edition (OBIEE) as a comprehensive BI solution. This book follows a when;
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The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions;
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The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions;
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Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with;
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Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with introducing;
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The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for;
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in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019, held;
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presents new methods including machine learning and compressive sampling, which help to improve safety, reliability, and performance.A;
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Expand your OpenCV knowledge and master key concepts of machine learning using this practical, hands-on guide. About This Book * Load;
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Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing;
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Learning Control: Applications in Robotics and Complex Dynamical Systems provides a foundational understanding of control theory while also;
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Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive;
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Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda;
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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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"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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machine learning algorithms Explore neural networks in detail with interesting examples Master core AI concepts with engaging activities Book;
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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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