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Introduction to Semi-Supervised Learning

By (author) Zenglin Xu, By (author) Irwin King

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Including the historical background and recent advances in the field as well as theoretical perspectives and real-world applications, this book outlines a systematic framework for implementing semi-supervised learning methods. It provides a toolbox on semi-supervised learning algorithms, presenting illustrations and examples of each algorithm. The book defines and distinguishes supervised learning, unsupervised learning, semi-supervised learning, and other relevant learning tasks. It discusses important semi-supervised learning models, including generative models for semi-supervised learning, semi-supervised support vector machines, and graph-based semi-supervised learning methods.

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The Colonialist: The Vision of Cecil Rhodes

William Kelleher Storey
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528 pages
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This first comprehensive biography of Cecil Rhodes in a generation illuminates Rhodesâ€™s vision for the expansion of imperialism in southern Africa, connecting politics and industry to internal development, and examines how this fueled a lasting, white-dominated colonial society.

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The Coming Wave: AI, Power and Our Future

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Survive the AI Apocalypse: A guide for solutionists

Bronwen Williams
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232 pages
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Let's stare the future down and, instead of fearing AI, become solutionists.

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The Memory Collectors: A Novel

Dete Meserve
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320 pages

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