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  • Lucas Pinheiro Cinelli; Matheus Araújo Marins; Eduardo Antônio Barros da Silva; Sérgio Lima Netto
    978-3-030-70679-1
    2021
    Edition 1
    • Offers a concise self-contained resource, covering the basic concepts to the algorithms for Bayesian Deep Learning
    • Presents Statistical Inference concepts, offering a set of elucidative examples, practical aspects, and pseudo-codes
    • Every chapter includes hands-on examples and exercises and a website features lecture slides, additional examples, and other support material
    €180 €162
    10% OFF

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