BOOKS - PROGRAMMING - MLOps Engineering at Scale
MLOps Engineering at Scale - Carl Osipov 2022 PDF | EPUB Manning Publications BOOKS PROGRAMMING
ECO~15 kg CO²

1 TON

Views
68876

Telegram
 
MLOps Engineering at Scale
Author: Carl Osipov
Year: 2022
Pages: 344
Format: PDF | EPUB
File size: 13,8 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

MLOps Engineering at Scale
Ultimate MLOps for Machine Learning Models Use Real Case Studies to Efficiently Build, Deploy, and Scale Machine Learning Pipelines with MLOps
Ultimate MLOps for Machine Learning Models Use Real Case Studies to Efficiently Build, Deploy, and Scale Machine Learning Pipelines with MLOps
Production Engineering from DevOps to MLOps
Introducing MLOps How to Scale Machine Learning in the Enterprise
Mastering MLOps Architecture From Code to Deployment Manage the production cycle of continual learning ML models with MLOps
Mastering MLOps Architecture From Code to Deployment Manage the production cycle of continual learning ML models with MLOps
Mastering MLOps Architecture: From Code to Deployment: Manage the production cycle of continual learning ML models with MLOps (English Edition)
Resilience and Reliability on AWS Engineering at Cloud Scale
Building Mobile Apps at Scale 39 Engineering Challenges
Science and Engineering of Polyphenols Fundamentals and Industrial Scale Applications
Science and Engineering of Polyphenols Fundamentals and Industrial Scale Applications
Passivation and Corrosion of Black Rebar with Mill Scale (Engineering Materials)
Analytics Engineering with SQL and dbt Building Meaningful Data Models at Scale
Analytics Engineering with SQL and dbt Building Meaningful Data Models at Scale
Prompt Engineering for Generative AI Future-Proof Inputs for Reliable AI Outputs at Scale (Final Release)
Prompt Engineering for Generative AI Future-Proof Inputs for Reliable AI Outputs at Scale (Final Release)
Prompt Engineering for Generative AI Future-Proof Inputs for Reliable AI Outputs at Scale (5th Early Release)
Prompt Engineering for Generative AI Future-Proof Inputs for Reliable AI Outputs at Scale (5th Early Release)
Prompt Engineering for Generative AI Future-Proof Inputs for Reliable AI Outputs at Scale (5th Early Release)
Hands-on Site Reliability Engineering Build Capability to Design, Deploy, Monitor, and Sustain Enterprise Software Systems at Scale
Machine Learning Upgrade: A Data Scientist|s Guide to MLOps, LLMs, and ML Infrastructure: A Data Scientist|s Guide to MLOps, LLMs, and ML Infrastructure
Pharmaceutical Process Engineering and Scale-up Principles (AAPS Introductions in the Pharmaceutical Sciences, 13)
Implementing MLOps in the Enterprise
Implementing MLOps in the Enterprise A Production-First Approach
A Guide to Implementing MLOps From Data to Operations
Practical MLOps Operationalizing Machine Learning Models
MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations
Practical MLOps Operationalizing Machine Learning Models (Early Release)
MLOps with Ray Best Practices and Strategies for Adopting Machine Learning Operations
MLOps with Ray Best Practices and Strategies for Adopting Machine Learning Operations
Technological Advancement in Mechanical and Automotive Engineering: Proceeding of International Conference in Mechanical Engineering Research 2021 (Lecture Notes in Mechanical Engineering)
Machine Learning Upgrade A Data Scientist|s Guide to MLOps, LLMs, and ML Infrastructure
Machine Learning Upgrade A Data Scientist|s Guide to MLOps, LLMs, and ML Infrastructure
Continuous Machine Learning with Kubeflow Performing Reliable MLOps with Capabilities of TFX, Sagemaker and Kubernetes
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
Flying Scale Models 2020 (11 months) Scale Drawings, Article and Colors
Flying Scale Models 2010 - 2016 Scale Drawings and Colors
Flying Scale Models 2021 Scale Drawings, Article and Colors
Flying Scale Models 2010 - 2016 Scale Drawings and Colors