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Python QuickStart Guide by Robert Oliver ISBN 978-1-63610-035-7 in paperback format. #format_paperback

QuickStart Guides

Python QuickStart Guide

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Barnes & Noble

Machine Learning Model Serving Patterns and Best Practices: A definitive guide to deploying, monitoring, and providing accessibility to ML models in production

Dex, Red edition, rear left view.

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Dex Camera

Dex Camera - the Language Discovery Camera

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Azure Machine Learning Engineering : Deploy, fine-tune, and optimize ML models using Microsoft Azure

Books Kinokuniya USA

Azure Machine Learning Engineering : Deploy, fine-tune, and optimize ML models using Microsoft Azure

Hands-On MLOps on Azure : Automate, Secure & Scale ML Workflows with Azure ML CLI, GitHub & LLMOps

Books Kinokuniya USA

Hands-On MLOps on Azure : Automate, Secure & Scale ML Workflows with Azure ML CLI, GitHub & LLMOps

Machine Learning Model Serving Patterns and Best Practices: A definitive guide to deploying, monitoring, and providing accessibility to ML models in p by Islam, Johirul

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Surprise Castle

Machine Learning Model Serving Patterns and Best Practices: A definitive guide to deploying, monitoring, and providing accessibility to ML models in p

Advanced Snowflake : Processing Data, Developing Applications, and Deploying ML Models at Scale

Books Kinokuniya USA

Advanced Snowflake : Processing Data, Developing Applications, and Deploying ML Models at Scale

Barnes & Noble

AI Engineering: Building Applications with Foundation Models

Barnes & Noble

Machine Learning in the Cloud: Automate and Scale Machine Learning Pipelines in the Cloud

Barnes & Noble

Beginning Programming with Python For Dummies

Barnes & Noble

The Definitive Guide to Machine Learning Operations in AWS: Machine Learning Scalability and Optimization with AWS

Synthesis Lectures on Engineering, Science, and Technology

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Late Knight Books and Services, LLC

Synthesis Lectures on Engineering, Science, and Technology: From Data to Operations

SQL QuickStart Guide by Walter Shields ISBN 978-1-945051-75-3 in paperback format #format_paperback

QuickStart Guides

SQL QuickStart Guide

(209)

Building Applications with AI Agents

Ingram Academic & Professional

Building Applications with AI Agents

Barnes & Noble

Hands-On MLOps on Azure: Automate, secure, and scale ML workflows with the Azure ML CLI, GitHub, and LLMOps

The Definitive Guide to Machine Learning Operations in AWS : Machine Learning Scalability and Optimization with AWS (First Edition)

Books Kinokuniya USA

The Definitive Guide to Machine Learning Operations in AWS : Machine Learning Scalability and Optimization with AWS (First Edition)

Barnes & Noble

Ship Machine Learning Web Apps with Python: Build and Deploy a Machine Learning Web App with Flask

Barnes & Noble

Deep Learning with Python, Third Edition

Barnes & Noble

Deploy Machine Learning Models to Production: With Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform

Data-Centric Machine Learning with Python : The ultimate guide to engineering and deploying high-quality models based on good data

Books Kinokuniya USA

Data-Centric Machine Learning with Python : The ultimate guide to engineering and deploying high-quality models based on good data

Barnes & Noble

A Guide to Implementing MLOps: From Data to Operations

Barnes & Noble

Keras to Kubernetes: The Journey of a Machine Learning Model to Production

Barnes & Noble

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Barnes & Noble

Building Machine Learning Powered Applications: Going from Idea to Product

Barnes & Noble

Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud

Barnes & Noble

Mastering Azure Machine Learning: Perform large-scale end-to-end advanced machine learning on the cloud with Microsoft Azure ML

Barnes & Noble

Building Machine Learning Powered Applications: Going from Idea to Product

Barnes & Noble

The Developer's Guide to AI: A Field Guide for the Working Developer

Barnes & Noble

ML and Generative AI in the Data Lakehouse: Building and Deploying AI Applications at Scale

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