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    Browsing by Subject Deep learning (Machine learning) | Học sâu (Học máy)

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    • TVS.006205__Sigrid Keydana - Deep Learning and Scientific Computing with R torch (Chapman & Hall_CRC The R Series)-Chapman and Hall_CRC (2023)-1.pdf.jpg
    • Sách/Book

    • Deep learning and scientific computing with R torch

      • Authors: Sigrid Keydana (2023)

    • This book aims to be useful to (almost) everyone. Globally speaking, its purposes are threefold: Provide a thorough introduction to torch basics - both by carefully explaining underlying concepts and ideas, and showing enough examples for the reader to become "fluent" in torch. Again with a focus on conceptual explanation, show how to use torch in deep-learning applications, ranging from image recognition over time series prediction to audio classification.
    • TVS.006221_Andre Ye, Zian Wang - Modern Deep Learning for Tabular Data. Novel Approaches to Common Modeling Problems-Apress (2023)1.pdf.jpg
    • Sách/Book

    • Modern deep learning for tabular data : novel approaches to common modeling problems

      • Authors: Zian Wang; Andre Ye (2023)

    • Who This Book Is For Data scientists and researchers of all levels from beginner to advanced looking to level up results on tabular data with deep learning or to understand the theoretical and practical aspects of deep tabular modeling research. Applicable to readers seeking to apply deep learning to all sorts of complex tabular data contexts, including business, finance, medicine, education, and security