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Linux справочник

Linux справочник — Страница 52

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Julia as a Second Language: General purpose programming with a taste of data science, Erik Engheim

Julia as a Second Language: General purpose programming with a taste of data science, Erik Engheim

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Serverless Applications with Node.js: Using AWS Lambda and Claudia.js, Slobodan Stojanovic, Aleksandar Simovic

Serverless Applications with Node.js: Using AWS Lambda and Claudia.js, Slobodan Stojanovic, Aleksandar Simovic

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

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

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

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

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Microservices Security in Action: Design secure network and API endpoint security for Microservices

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AWS for Non-Engineers, Hiroko Nishimura

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Deep Learning and the Game of Go, Max Pumperla, Kevin Ferguson

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Software Telemetry: Reliable logging and monitoring, Jamie Riedesel

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Machine Learning for Business: Using Amazon SageMaker and Jupyter, Doug Hudgeon, Richard Nichol

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Road to Kubernetes, Justin Mitchel

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Data for All, John K. Thompson

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AWS Security, Dylan Shields

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Tiny Python Projects: 21 small fun projects for Python beginners designed to build programming skill, teach

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WebAssembly in Action, Gerard Gallant

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Graph Databases in Action, Dave Bechberger, Josh Perryman

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Learn Rust in a Month of Lunches, David MacLeod

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Managing Machine Learning Projects: From design to deployment, Simon Thompson

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

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Math for Programmers: 3D graphics, machine learning, and simulations with Python, Paul Orland

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Machine Learning Engineering in Action, Ben Wilson

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Python How-To: 63 techniques to improve your Python code, Yong Cui

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Istio in Action, Christian E. Posta, Rinor Maloku

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Graph Algorithms for Data Science: With examples in Neo4j, Tomaž Bratanic

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Statistics Slam Dunk: Statistical analysis with R on real NBA data, Gary Sutton

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React Native in Action, Nader Dabit

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Demand Forecasting Best Practices, Nicolas Vandeput

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

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Learn AI-assisted Python Programming: With GitHub Copilot and ChatGPT, Leo Porter, Daniel Zingaro

700 ₴

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HTTP/2 in Action, Barry Pollard

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Deep Learning for Search, Tommaso Teofili

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