Tag: MLOps

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.

Free Download Engineering MLOps: Rapidly build, test, and manage production-ready machine learning life cycles at scale:
Rapidly test, build, and manage production-ready machine learning life cycles at scale
by Emmanuel Raj

Free Download Combining DataOps, MLOps and DevOps: Outperform Analytics and Software Development with Expert Practices on Process Optimization and Automation (English Edition) by Dr. Kalpesh Parikh, Amit Johri
English | May 16, 2022 | ISBN: 9355511914 | 398 pages | MOBI | 3.77 Mb
Accelerate the delivery of software, data, and machine learning

Free Download MLOps Essentials Monitoring Model Drift and Bias
Released: 10/2023
Duration: 1h 5m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 110 MB
Level: Intermediate | Genre: eLearning | Language: English
As more and more ML models are developed and deployed, the need arises to ensure that the models are effective and safe and that they perform as desired. Model monitoring, a core function of MLOps, helps data scientists and MLOps engineers to meet this need. In this course, data analytics expert Kumaran Ponnambalam discusses the types of monitoring needed for ML models. He deep dives into model drift monitoring and bias. For model drift, Kumaran goes over the types of drift monitoring and their causes. He explains different techniques for drift monitoring and how to execute them in python using open source libraries. For bias, Kumaran highlights various sources of bias and their impact. He also analyzes bias in python with open source libraries. Finally, he recommends some best practices for drift and bias monitoring.

Released 10/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 25h 55m | Size: 4.32 GB
Become a Machine Learning Engineer. Level-up your programming skills with MLOps
Free Download What you’ll learn

Free Download Learn MLOps for Machine Learning By Milecia McGregor
Released 9/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 4h 10m | Size: 606 MB
With both machine learning and DevOps at the forefront these days, Milecia McGregor helps engineers understand how to apply key DevOps principles to their machine learning projects.