Practical Guide Mlops Data by Gabe Avis (6 results)
More images- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
Contact seller5-star sellerCondition: New
US$ 32.54
Free ShippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Paperback. Condition: New.
- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
Contact seller5-star sellerCondition: New
US$ 30.60
US$ 5.57 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
More images- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
Contact seller5-star sellerCondition: New
US$ 30.58
US$ 86.96 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Paperback. Condition: New.
- Softcover
- Print on Demand
Seller: California Books, Miami, FL, U.S.A.California Books
Contact seller4-star sellerCondition: New
US$ 29.00
Free ShippingShips within U.S.A.Quantity: Over 20 available
Condition: New. Print on Demand.
- Softcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contact seller5-star sellerCondition: New
US$ 32.40
Free ShippingShips within U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. What happens when your best model silently fails in production? What's the true cost of a brittle data pipeline, or an untraceable deployment?Every ambitious ML project promises the future, but reality bites: endless manual fixes, untracked changes, model drift, downtime, and costs that spir…al out of control. This isn't a book of hollow theory-it's a blueprint for surviving, and thriving, in production.Inside, you'll discover: Foundations of MLOps: Modern principles that power repeatable, reliable machine learning.Data Pipeline Automation: Proven methods for data ingestion, validation, modular ETL, and versioning.Versioning Everything: Strategies for tracking code, datasets, features, experiments, and models.CI/CD for Machine Learning: Concrete steps to automate model delivery using MLflow, Kubeflow, and TFX.Automated Testing: How to build quality gates, detect drift, and deploy with confidence.Model Lifecycle Management: Master model registries, staging, promotion, and lineage.Deployment Recipes: Real-time vs. batch, Docker, Kubernetes, FastAPI-plus blue-green, rolling, and rollback techniques.Monitoring & Alerting: Keep production stable with actionable metrics, drift detection, and alert systems.Cost & Resource Optimization: Tame your compute, storage, and budget before they tame you.Security & Compliance: Practical approaches to pipeline security, auditability, and governance.Case Studies: CI/CD in finance, retail, healthcare, and lessons from industry giants.Building Your Platform: How to scale from scrappy scripts to organization-wide, automated MLOps.If you want to stop firefighting and start delivering robust, fault-tolerant, and explainable machine learning-this is your field guide.Ready to automate, monitor, and scale every model you deploy? Turn the page. Production awaits. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
US$ 35.12
US$ 49.50 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. What happens when your best model silently fails in production? What's the true cost of a brittle data pipeline, or an untraceable deployment?Every ambitious ML project promises the future, but reality bites: endless manual fixes, untracked changes, model drift, downtime, and costs that spir…al out of control. This isn't a book of hollow theory-it's a blueprint for surviving, and thriving, in production.Inside, you'll discover: Foundations of MLOps: Modern principles that power repeatable, reliable machine learning.Data Pipeline Automation: Proven methods for data ingestion, validation, modular ETL, and versioning.Versioning Everything: Strategies for tracking code, datasets, features, experiments, and models.CI/CD for Machine Learning: Concrete steps to automate model delivery using MLflow, Kubeflow, and TFX.Automated Testing: How to build quality gates, detect drift, and deploy with confidence.Model Lifecycle Management: Master model registries, staging, promotion, and lineage.Deployment Recipes: Real-time vs. batch, Docker, Kubernetes, FastAPI-plus blue-green, rolling, and rollback techniques.Monitoring & Alerting: Keep production stable with actionable metrics, drift detection, and alert systems.Cost & Resource Optimization: Tame your compute, storage, and budget before they tame you.Security & Compliance: Practical approaches to pipeline security, auditability, and governance.Case Studies: CI/CD in finance, retail, healthcare, and lessons from industry giants.Building Your Platform: How to scale from scrappy scripts to organization-wide, automated MLOps.If you want to stop firefighting and start delivering robust, fault-tolerant, and explainable machine learning-this is your field guide.Ready to automate, monitor, and scale every model you deploy? Turn the page. Production awaits. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
