Operationalizing Machine Learning Pipelines : Building Reusable and Reproducible Machine Learning Pipelines Using MLOps /
Pandey, Vishwajyoti,
Operationalizing Machine Learning Pipelines : Building Reusable and Reproducible Machine Learning Pipelines Using MLOps / Vishwajyoti Pandey & Shaleen Bengani. - first edition. - 162 pages : illustrations ; 23 cm.
Includes practical case studies, tool examples, and key feature highlights.
DS/ML Projects – Initial Setup; ML Projects Lifecycle; ML Architecture – Framework & Components; Data Exploration & Problem Quantification; Training & Testing ML Models; Model Performance Measurement; CRUD with JS Frameworks; Feature Store; Building ML Pipeline.
A practitioner’s guide to implementing end-to-end MLOps workflows. Covers features such as GitOps automation, feature store creation, serverless pipelines, model serving with KFServing and Polyaxon, and model monitoring in production—ideal for ML engineers, data scientists, and DevOps professionals.turn0search3turn0search12
9789355510235
Machine learning--implementation.
Data engineering--pipelines.
005.4 / P.V.O
Operationalizing Machine Learning Pipelines : Building Reusable and Reproducible Machine Learning Pipelines Using MLOps / Vishwajyoti Pandey & Shaleen Bengani. - first edition. - 162 pages : illustrations ; 23 cm.
Includes practical case studies, tool examples, and key feature highlights.
DS/ML Projects – Initial Setup; ML Projects Lifecycle; ML Architecture – Framework & Components; Data Exploration & Problem Quantification; Training & Testing ML Models; Model Performance Measurement; CRUD with JS Frameworks; Feature Store; Building ML Pipeline.
A practitioner’s guide to implementing end-to-end MLOps workflows. Covers features such as GitOps automation, feature store creation, serverless pipelines, model serving with KFServing and Polyaxon, and model monitoring in production—ideal for ML engineers, data scientists, and DevOps professionals.turn0search3turn0search12
9789355510235
Machine learning--implementation.
Data engineering--pipelines.
005.4 / P.V.O