Practical MLOps 9781098103019, 9781098102944

Practical MLOps: Operationalizing Machine Learning Models [1 ed.] 1098103017, 9781098103019

Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven princ

692 159 19MB Read more

Practical MLOps: Operationalizing Machine Learning Models [1 ed.] 1098103017, 9781098103019

Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven princ

973 130 19MB Read more

Mastering MLOps Architecture: From Code to Deployment: Manage the production cycle of continual learning ML models with MLOps 9789355519498

Harness the power of MLOps for managing real time Machine Learning project cycle. MLOps is the intersection of DevOps,

121 53 4MB Read more

Implementing MLOps in the Enterprise: A Production-First Approach 9781098136581

With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational mach

114 52 16MB Read more

Implementing MLOps in the Enterprise (Fourth Early Release) 9781098136529

With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational mach

338 90 59MB Read more

Beginning MLOps with MLFlow : Deploy Models in AWS SageMaker, Google Cloud, and Microsoft Azure 9781484265499

582 56 14MB Read more

Introducing MLOps: How to Scale Machine Learning in the Enterprise [1 ed.] 1492083291, 9781492083290

More than half of the analytics and machine learning (ML) models created by organizations today never make it into produ

1,288 120 14MB Read more

Kubernetes for MLOps - Scaling Enterprise Machine Learning, Deep Learning, and AI

Enterprise interest in machine learning and artificial intelligence continues to grow, with organizations dedicating inc

580 111 3MB Read more

Machine Learning Design Patterns Solutions to Common Challenges in Data Preparation, Model Building, and MLOps

1,442 212 6MB Read more

MLOps Lifecycle Toolkit: A Software Engineering Roadmap for Designing, Deploying, and Scaling Stochastic Systems

This book is aimed at practitioners of data science, with consideration for bespoke problems, standards, and tech stacks

121 95 31MB Read more