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The Design of Web APIs, Arnaud Lauret

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Transfer Learning for Natural Language Processing, Paul Azunre

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Privacy-Preserving Machine Learning, J. Morris Chang, Di Zhuang, G. Dumindu Samaraweera, more

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Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools, Eli Stevens, Luca

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Haskell in Depth, Vitaly Bragilevsky

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Pro ASP.NET Core 7, Tenth Edition 10th ed. Edition, Adam Freeman

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Data for All, John K. Thompson

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Deep Learning Patterns and Practices, Andrew Ferlitsch

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(Colored) Inside Deep Learning: Math, Algorithms, Models Annotated Edition, Edward Raff

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Succeeding with AI: How to make AI work for your business, Veljko Krunic

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Event Streams in Action: Real-time event systems with Kafka and Kinesis, Alexander Dean, Valentin Crettaz

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Machine Learning Engineering in Action, Ben Wilson

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Real-World Natural Language Processing: Practical applications with deep learning, Masato Hagiwara

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Tiny CSS Projects, Martine Dowden, Michael Gearon

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Parallel and High Performance Computing, Robert Robey, Yuliana Zamora

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Deep Learning for Vision Systems, Mohamed Elgendy

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Deep Learning with Structured Data, Mark Ryan

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Learn Rust in a Month of Lunches, David MacLeod

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Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability, Oliver Duerr, Beate Sick, Elvis

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