Tag: MLOps

Combining DataOps, MLOps and DevOps


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

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MLOps Essentials Monitoring Model Drift and Bias


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.

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Learn MLOps for Machine Learning By Milecia McGregor


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.

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Production Engineering from DevOps to MLOps


Free Download Production Engineering from DevOps to MLOps
English | 2023 | ISBN: n/a | 124 Pages | PDF EPUB | 9 MB
This book takes a DevOps approach to MLOps and uniquely positions how MLOps is an extension of well-established DevOps principles using real-world use cases. It leverages multiple DevOps concepts and methodologies such as CI/CD and software testing. It also demonstrates the additional concepts from MLOps such as continuous training that expands CI/CD/CT to build, operationalize and monitor ML models.

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Implementing MLOps in the Enterprise


Free Download Implementing MLOps in the Enterprise
English | 2023 | ISBN: 9781098136574 | 443 Pages | EPUB (True) | 59 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.

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