Free Download Engineering MLOps: Rapidly build, test, and manage production-ready machine learning life cycles at scale by Emmanuel Raj
English | April 19, 2021 | ISBN: 1800562888 | 370 pages | PDF | 34 Mb
Get up and running with machine learning life cycle management and implement MLOps in your organization

Free Download Complete MLOps Bootcamp – From Zero to Hero in Python 2022

Last updated: 2/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 10h 21m | Size: 4.15 GB
Advanced hands-on bootcamp of MLOps with MLFlow, Scikit-learn, CI/CD, Azure, FastAPI, Gradio, SHAP, Docker, DVC, Flask..

Free Download MLOps with Red Hat OpenShift: A cloud-native approach to machine learning operations by Ross Brigoli, Faisal Masood
English | January 31, 2024 | ISBN: 1805120239 | 238 pages | PDF | 12 Mb
Build and manage MLOps pipelines with this practical guide to using Red Hat OpenShift Data Science, unleashing the power of machine learning workflowsKey FeaturesGrasp MLOps and machine learning project lifecycle through concept introductionsGet hands on with provisioning and configuring Red Hat OpenShift Data ScienceExplore model training, deployment, and MLOps pipeline building with step-by-step instructionsBook Description

Free Download Ultimate MLOps for Machine Learning Models: Use Real Case Studies to Efficiently Build, Deploy, and Scale Machine Learning Pipelines with MLOps by Saurabh D. Dorle
English | August 30, 2024 | ISBN: 8197651205 | 314 pages | MOBI | 30 Mb
The only MLOps guide you’ll ever need

Free Download Scaling Machine Learning: Industrializing ML with MLOps and Automation by Taylor Royce
English | October 31, 2024 | ISBN: N/A | ASIN: B0DLQJZGZ3 | 75 pages | EPUB | 0.70 Mb
Scaling Machine Learning: Industrializing ML with MLOps and Automation"

Free Download Linkedin – MLOps Tools – MLflow and Hugging Face
Released: 09/2024
Duration: 5h 14m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 825 MB
Level: Intermediate | Genre: eLearning | Language: English
In this course, learn how to master MLflow and Hugging Face, two powerful open-source platforms for MLOps. Starting with MLflow, learn how to streamline the machine learning lifecycle, manage projects and models, use the tracking UI system, and interact with registered models. Then, get an introduction to Hugging Face, starting with an overview of the Hugging Face Hub, repositories, and Hugging Face Spaces. Learn how to collaborate and deploy models, store datasets and models, create live interactive demos, and leverage community repositories.

Free Download MLOps Engineering at Scale
Author: Carl Osipov
Narrator: n/a
English | 2024 | ISBN: 9781617297762 | MP3@64 kbps | Duration: 7h 7m | 583 MB
MLOps Engineering at Scale shows you how to put machine learning into production efficiently by using pre-built services from AWS and other cloud vendors. You’ll learn how to rapidly create flexible and scalable machine learning systems without laboring over time-consuming operational tasks or taking on the costly overhead of physical hardware. Following a real-world use case for calculating taxi fares, you will engineer an MLOps pipeline for a PyTorch model using AWS server-less capabilities.

Free Download MLOps with Red Hat OpenShift: A cloud-native approach to machine learning operations by Ross Brigoli, Faisal Masood
English | January 31, 2024 | ISBN: 1805120239 | 238 pages | EPUB | 13 Mb
Build and manage MLOps pipelines with this practical guide to using Red Hat OpenShift Data Science, unleashing the power of machine learning workflowsKey FeaturesGrasp MLOps and machine learning project lifecycle through concept introductionsGet hands on with provisioning and configuring Red Hat OpenShift Data ScienceExplore model training, deployment, and MLOps pipeline building with step-by-step instructionsBook Description

Free Download Ultimate MLOps for Machine Learning Models
English | 2024 | ISBN: 8197651205 | 484 Pages | PDF EPUB | 9 MB
This book is an essential resource for professionals aiming to streamline and optimize their machine learning operations. This comprehensive guide provides a thorough understanding of the MLOps life cycle, from model development and training to deployment and monitoring. By delving into the intricacies of each phase, the book equips readers with the knowledge and tools needed to create robust, scalable, and efficient machine learning workflows.

Free Download Ultimate MLOps for Machine Learning Models
by Dorle, Saurabh D.;
English | 2024 | ISBN: 8197651205 | 314 pages | True EPUB | 22.25 MB