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Google apps — Страница 54

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Graph-Powered Machine Learning, Alessandro Nego

Graph-Powered Machine Learning, Alessandro Nego

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Azure Storage, Streaming, and Batch Analytics: A guide for data engineers, Richard L. Nuckolls

Azure Storage, Streaming, and Batch Analytics: A guide for data engineers, Richard L. Nuckolls

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Svelte and Sapper in Action, Mark Volkmann

Svelte and Sapper in Action, Mark Volkmann

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

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

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

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

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Bootstrapping Microservices with Docker, Kubernetes, and Terraform: A project-based guide, Ashley Davis

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Think Like a CTO, Alan Williamson

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Ensemble Methods for Machine Learning, Gautam Kunapuli

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Graph Databases in Action, Dave Bechberger, Josh Perryman

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Istio in Action, Christian E. Posta, Rinor Maloku

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Deep Learning for Vision Systems, Mohamed Elgendy

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Knative in Action, Jacques Chester

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Learn PowerShell in a Month of Lunches, Fourth Edition: Covers Windows, Linux, and macOS 4th Edition, Travis

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Voice Applications for Alexa and Google Assistant, Dustin A. Coates

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Python Workout: 50 ten-minute exercises, Reuven M. Lerner

620 ₴

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Grokking Concurrency, Kirill Bobrov

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

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Full Stack Python Security: Cryptography, TLS, and attack resistance, Dennis Byrne

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

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Road to Kubernetes, Justin Mitchel

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Data for All, John K. Thompson

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Tiny CSS Projects, Martine Dowden, Michael Gearon

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

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Deep Learning with Structured Data, Mark Ryan

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Phoenix in Action, Geoffrey Lessel

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Deep Reinforcement Learning in Action, Alexander Zai, Brandon Brown

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Machine Learning with R, the tidyverse, and mlr, Hefin I. Rhys

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Interpretable AI: Building explainable machine learning systems, Ajay Thampi

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Blockchain in Action, Bina Ramamurthy

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