Tag: MLOps

Free Download Mastering MLOps Architecture: From Code to Deployment: Manage the production cycle of continual learning ML models with MLOps (English Edition) by Raman Jhajj
English | December 12, 2023 | ISBN: 9355519494 | 226 pages | MOBI | 1.98 Mb
Harness the power of MLOps for managing real time machine learning project cycle

Free Download Data Science and MLOps with Feast Mastering Feature Store
Published 1/2024
Created by Dominik Zalewski
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 13 Lectures ( 2h 10m ) | Size: 1 GB

Free Download MLOps with Red Hat OpenShift: A cloud-native approach to machine learning operations
English | 2024 | ISBN: 1805120239 | 348 Pages | EPUB (True) | 20 MB
MLOps with OpenShift offers practical insights for implementing MLOps workflows on the dynamic OpenShift platform. As organizations worldwide seek to harness the power of machine learning operations, this book lays the foundation for your MLOps success. Starting with an exploration of key MLOps concepts, including data preparation, model training, and deployment, you’ll prepare to unleash OpenShift capabilities, kicking off with a primer on containers, pods, operators, and more.

Free Download Implementing MLOps in the Enterprise (Early Release) by Noah Gift and Yaron Haviv
English | 2022 | ISBN: 9781098136574 | 128 pages | PDF | 8.57 Mb
With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moving ML models to production.

Free Download MLOps Bootcamp – Mastering AI Operations for Success – AIOps
Published 1/2024
Created by Manifold AI Learning ®
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 237 Lectures ( 36h 55m ) | Size: 15.9 GB

Free Download Mastering MLOps Architecture: From Code to Deployment: Manage the production cycle of continual learning ML models with MLOps
by Raman Jhajj
English | 2023 | ISBN: 9355519494 | 286 Pages | PDF (conv) | 5.5 MB

Free Download MLOps Lifecycle Toolkit: A Software Engineering Roadmap for Designing, Deploying, and Scaling Stochastic Systems by Dayne Sorvisto
English | July 30, 2023 | ISBN: 1484296419 | 291 pages | EPUB | 4.46 Mb
This book is aimed at practitioners of data science, with consideration for bespoke problems, standards, and tech stacks between industries. It will guide you through the fundamentals of technical decision making, including planning, building, optimizing, packaging, and deploying end-to-end, reliable, and robust stochastic workflows using the language of data science.

Free Download What Is MLOps? by Mark Treveil, Lynn Heidmann
English | 2021 | ISBN: 9781492093626 | 60 pages | EPUB | 2.01 Mb
For years, organizations have struggled to move data science, machine learning, and AI projects from the realm of experimental to having real business impact. One reason is because pivoting operations around these technologies involves more than just technology-the orchestration of people and processes is also critically important. In the wake of the global health crisis, the need for structure around building and maintaining machine learning models (much less tens, hundreds, or thousands of them) has only grown.

Free Download Mastering MLOps Architecture:
From Code to Deployment: Manage the production cycle of continual learning ML models with MLOps
English | 2024 | ISBN: 9355519494 | 368 Pages | EPUB (True) | 4.2 MB

Free Download Implementing MLOps in the Enterprise: A Production-First Approach by Yaron Haviv, Noah Gift
English | January 9th, 2024 | ISBN: 1098136586 | 377 pages | True EPUB/pdf | 29+15.52 MB
With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moving ML models to production.