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Pre-Owned Algorithms in Java: ...Part 5 of Sedgewick s seminal work on Algorithms is available for the first ti... Part 5 of Sedgewick s seminal work on Algorithms is available for the first time in a Java version. This important work on computer algorithms has been completely revised greatly expanded and completely up-to-date. Once again Robert Sedgewick... more
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Pre-Owned Algorithms and Model...The World Wide Web has become part of our everyday life and information retrie... The World Wide Web has become part of our everyday life and information retrieval and data mining on the Web are now of enormous practical interest. The algorithms supporting these activities combine the view of the Web as a text repository and as a... more
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LLM Applications and Retrieval...Knowledge Graph RAG examines how retrieval can be strengthened by introducing ... Knowledge Graph RAG examines how retrieval can be strengthened by introducing structure into how information is stored and accessed. Instead of relying only on unstructured text search this book explores how knowledge graphs can organize entities... more
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Pre-Owned Cambridge Monographs...Many applications in science and engineering require a digital model of a real... Many applications in science and engineering require a digital model of a real physical object. Advanced scanning technology has made it possible to scan such objects and generate point samples on their boundaries. This book first published in 2007... more
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Practical Machine Learning wit...Imagine this: you ve just trained a brilliant predictive model. It works flawl... Imagine this: you ve just trained a brilliant predictive model. It works flawlessly on your machine. But the moment you deploy it to a live production environment everything falls apart. The async web server chokes memory leaks crash the containers... more
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Pre-Owned Machine Learning for...This textbook introduces readers to the theoretical aspects of machine learnin... This textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms starting from simple neuron basics through complex neural networks including generative adversarial neural networks and graph convolution networks. Most... more
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Mathematical Modeling for Big ...Mathematical Modelling for Big Data Analytics is a comprehensive guidebook tha... Mathematical Modelling for Big Data Analytics is a comprehensive guidebook that explores the use of mathematical models and algorithms for analyzing large and complex datasets. The book covers a range of topics including statistical modeling machine... more
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