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Free Download Linkedin - MLOps Tools - MLflow and Hugging Face Released: 09/2024 Duration: 5h 14m | .MP4 1280x720, 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. Note: This course was created by Pragmatic AI Labs. We are pleased to host this training in our library Homepage https://www.linkedin.com/learning/mlops-tools-mlflow-and-hugging-face?u=121350530 TakeFile https://takefile.link/vveut7jrq1fm/unmzj.MLOps.Tools.MLflow.and.Hugging.Face.rar.html Rapidgator https://rg.to/file/e657db98f90cd152ae62c8ec399dd397/unmzj.MLOps.Tools.MLflow.and.Hugging.Face.rar.html Fikper Free Download https://fikper.com/Iap2wD1tWl/unmzj.MLOps.Tools.MLflow.and.Hugging.Face.rar.html No Password - Links are Interchangeable -
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. Rapidgator https://rg.to/file/de8b8ed859cc7b00a27484228d2bc712/542uw.rar.html Fikper Free Download https://fikper.com/ELGAGg1VY9/542uw.rar.html Links are Interchangeable - No Password - Single Extraction
