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Deep Learning Recommender Systems

By (author) Zhe Wang, By (author) Chao Pu, By (author) Felice Wang

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Recommender systems are ubiquitous in modern life and are one of the main monetization channels for Internet technology giants. This book helps graduate students, researchers and practitioners to get to grips with this cutting-edge field and build the thorough understanding and practical skills needed to progress in the area. It not only introduces the applications of deep learning and generative AI for recommendation models, but also focuses on the industry architecture of the recommender systems. The authors include a detailed discussion of the implementation solutions used by companies such as YouTube, Alibaba, Airbnb and Netflix, as well as the related machine learning framework including model serving, model training, feature storage and data stream processing.

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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 Memory Collectors: A Novel

Dete Meserve
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The Coming Wave: AI, Power and Our Future

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352 pages
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Survive the AI Apocalypse: A guide for solutionists

Bronwyn Williams
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232 pages
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Look around you is anything real or normal any more? News, images and videos created by AI are everywhere.

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