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Learn the art of building robust and powerful recommendation engines using R About This Book * Learn to exploit various data mining;
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system debugging.In recent years, a large number of explainable recommendation approaches have been proposed and applied in real-world systems;
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solving a massive computational problem, such as building a recommendation system. You'll learn how to implement the appropriate MapReduce;
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filtering techniques With this book, all you need to get started with building recommendation systems is a familiarity with Python, and by the time;
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This book systematically introduces Point-of-interest (POI) recommendations in Location-based Social Networks (LBSNs). Starting with a;
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the fundamental building blocks of system dynamics models, and its choice of R as a modeling language make it an ideal reference text for;
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Learn the essence of data science and visualization using R in no time at all About This Book * Become a pro at making stunning;
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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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an R and SPSS user with a good understanding of machine learning concepts, algorithms, and techniques, then this is the book for you. Some;
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learning methods * Implement the numerous powerful features offered by R with this comprehensive guide to building an independent R-based ML;
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purpose systems. Along with the design and implementation of algorithms, a major part of the work presented in the book involves the development;
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building. Topics include the problems and challenges of community building, charter convenants and commitments, system responses, school;
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retain and progressively stimulate interest in the product area. The intelligent system matches users with appropriate product recommendations;
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and educational relationships that created this leading career/technical education system. Their insights offer a how-to guide on building a;
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learning: online learning, regression, label classification, deep learning, feature selection, recommendation system; and knowledge discovery;
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Building on its reputation for accurate content and a unified system of instruction, the Seventh Edition of Bittinger/Beecher's;
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research, it then develops and evaluates a new kind of task recommendation service that integrates with existing systems. The resulting prototype;
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management system and Excel (R) spreadsheet to effectively analyze and solve real-world, business problems. Six individual tutorials build a;
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system and Excel (R) spreadsheet to effectively analyze and solve real-world business problems. Six individual tutorials build a practical;
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College Physics for the AP (R) Physics 1 Course is the first textbook to integrate AP (R) skill-building and exam prep into a comprehensive;
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BUILDING A LIFE WITH GOD - WORKBOOK is a helpful tool for discipleship in the church. The workbook is a follow-up to the author's booklet;
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Quantitative Finance with R offers a winning strategy for devising expertly-crafted and workable trading models using the R open source;
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of the (ISC)2 (R) CAP (R) CBK (R). This is followed by a case study on the establishment of a successful system authorization program in a major;
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Software modernisation or re-engineering as a concept lacks universal clarity. System Building with APL + Win seeks to clarify this problem;
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"Instant Recommendation Letter Kit" is a unique and highly focused information resource that concentrates on the writing of all types;
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and a variety of tasks such as complex recommendation systems. By the end of this book, you will have gained expertise in performing R machine;
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