• Books
  • Tag: production deployment

Books — production deployment

EN
From Prototypes to Production: A 90-Day Playbook for Shipping Enterprise AI

From Prototypes to Production: A 90-Day Playbook for Shipping Enterprise AI

A

Luise Freese

AI and ML
RU
LLM in Practice. Large Language Models from Idea to Implementation

LLM in Practice. Large Language Models from Idea to Implementation

A

Пол Юстин, Максим Лабонн

AI and ML
EN
Adopting Elixir: From Concept to Production

Adopting Elixir: From Concept to Production

A

Ben Marx, José Valim, Bruce Tate

Programming languages
EN
LLMs in Production: From Language Models to Successful Products

LLMs in Production: From Language Models to Successful Products

A

Christopher Brousseau, Matthew Sharp

Embedded systems
EN
Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch

Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch

A

Adi Polak

AI and ML
EN
Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph

Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph

A

Mayo Oshin, Nuno Campos

AI and ML
EN
Software Engineering for Data Scientists: From Notebooks to Scalable Systems

Software Engineering for Data Scientists: From Notebooks to Scalable Systems

A

Catherine Nelson

AI and ML
RU
Docker: Up & Running. Shipping Reliable Containers in Production. 3rd Edition

Docker: Up & Running. Shipping Reliable Containers in Production. 3rd Edition

A

Шон П. Кейн, Карл Матиас

DevOps and Infrastructure
RU
System Design. Preparing for a Complex GenAI Interview

System Design. Preparing for a Complex GenAI Interview

A

Аминиан Али, Шенг Хао

Software Development
EN
Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps

Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps

A

Suhas Pote

AI and ML
EN
Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines

Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines

A

Kirill Kolodiazhnyi

AI and ML
EN
Rust Web Development with Warp, Tokio, and Reqwest

Rust Web Development with Warp, Tokio, and Reqwest

A

Bastian Gruber

Programming languages
EN
Generative AI for Full-Stack Development: AI Empowered Accelerated Coding

Generative AI for Full-Stack Development: AI Empowered Accelerated Coding

A

Shantanu Baruah, Nitara Baruah

AI and ML
RU
Development of Intelligent Systems. Introduction to Machine Learning Technology

Development of Intelligent Systems. Introduction to Machine Learning Technology

A

Джефф Хултен

AI and ML
EN
Distributed Services with Go: Your Guide to Reliable, Scalable, and Maintainable Systems

Distributed Services with Go: Your Guide to Reliable, Scalable, and Maintainable Systems

A

Travis Jeffery

Programming languages
EN
Architecting AI Software Systems: Crafting robust and scalable AI systems for modern software development

Architecting AI Software Systems: Crafting robust and scalable AI systems for modern software development

A

Richard D Avila, Imran Ahmad

AI and ML
EN
Mastering Docker, Fourth Edition: Enhance your containerization and DevOps skills to deliver production-ready applications

Mastering Docker, Fourth Edition: Enhance your containerization and DevOps skills to deliver production-ready applications

A

Russ McKendrick

DevOps and Infrastructure
RU
Kubernetes in Practice. Building Successful Application Platforms

Kubernetes in Practice. Building Successful Application Platforms

A

Джош Россо, Рич Ландер, Александр Бранд, Джон Харрис

DevOps and Infrastructure
EN
Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle, Second Edition

Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle, Second Edition

A

Ramcharan Kakarla, Sundar Krishnan, Balaji Dhamodharan, Venkata Gunnu

AI and ML
EN
Kafka in Action

Kafka in Action

A

Dylan Scott, Viktor Gamov, Dave Klein

DevOps and Infrastructure
EN
TensorFlow Developer Certificate Guide: From Fundamentals to Production Deployment

TensorFlow Developer Certificate Guide: From Fundamentals to Production Deployment

B

Не указан в предоставленном тексте

AI and ML
EN
LLM Engineer’s Handbook: Master the art of engineering large language models from concept to production

LLM Engineer’s Handbook: Master the art of engineering large language models from concept to production

A

Paul Iusztin, Maxime Labonne

AI and ML
EN
Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow

Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow

A

Hannes Hapke, Catherine Nelson

AI and ML
EN
Scaling Enterprise Solutions with Large Language Models: Comprehensive End-to-End Generative AI Solutions for Production-Grade Enterprise Solutions

Scaling Enterprise Solutions with Large Language Models: Comprehensive End-to-End Generative AI Solutions for Production-Grade Enterprise Solutions

A

Arindam Ganguly

AI and ML
RU
Cassandra. The Definitive Guide. Distributed Data at Web Scale. Second Edition

Cassandra. The Definitive Guide. Distributed Data at Web Scale. Second Edition

A

Джефф Карпентер, Эбен Хьюитт

Databases
EN
Oracle on Docker: Running Oracle Databases in Linux Containers

Oracle on Docker: Running Oracle Databases in Linux Containers

A

Sean Scott

Databases
EN
Building LLM Powered Applications: Create intelligent apps and agents with large language models

Building LLM Powered Applications: Create intelligent apps and agents with large language models

A

Valentina Alto

AI and ML
EN
Docker: Up & Running. Shipping Reliable Containers in Production. Third Edition

Docker: Up & Running. Shipping Reliable Containers in Production. Third Edition

A

Sean P. Kane, Karl Matthias

DevOps and Infrastructure
EN
Software Engineering for Data Scientists: From Notebooks to Scalable Systems

Software Engineering for Data Scientists: From Notebooks to Scalable Systems

A

Кэтрин Нельсон

AI and ML