Build a Machine Learning Platform (From Scratch)
$134.01
- Hardcover
504 pages
- Release Date
4 March 2026
Summary
Machine learning models look great in notebooks, then collapse in production. Ready to build an ML platform that actually delivers? Here’s a step-by-step, project-driven guide to building an MLOps-ready platform from scratch.
Inside you’ll find:
- Step-by-step ML pipeline assembly: A true “from-scratch” playbook that assembles an end-to-end MLOps stack.
- Deploy machine learning models to production: Combine Kubeflow, MLflow, BentoM…
Book Details
| ISBN-13: | 9781633437333 |
|---|---|
| ISBN-10: | 1633437337 |
| Author: | Benjamin Hao |
| Publisher: | Manning Publications |
| Imprint: | Manning Publications |
| Format: | Hardcover |
| Number of Pages: | 504 |
| Release Date: | 4 March 2026 |
| Weight: | 386g |
| Dimensions: | 187mm x 234mm |
| Series: | From Scratch |
You Can Find This Book In
About The Author
Benjamin Hao
Benjamin Tan Wei Hao is a product manager and principal engineer known for turning data into reliable ML delivery machines. With years leading platform builds, Benjamin distills deep MLOps experience into step-by-step guidance that helps readers ship scalable, maintainable models.
Shanoop Padmanabhan is a software engineering manager recognized for advancing autonomous-vehicle perception through robust ML platforms. He translates complex deployment challenges into replicable patterns.
Varun Mallya is a machine-learning engineer responsible for bank-wide ML platform stability and growth. With experience in scaling mission-critical models, Varun offers grounded insight on reliability and monitoring.
Returns
This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.