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Machine Learning Model Deployment Explained

Deploying a machine learning model is a critical step in turning insights into real-world impact. In this video, we’ll break down machine learning model deployment, explaining the key concepts, and best practices for successfully putting your models into production. This video is a part of our Intro To Machine Learning course: https://bit.ly/3VFrVrO What You’ll Learn: What is model deployment, and why is it important? Key steps in deploying machine learning models How experts think of machine learning model deployment The importance of deployment workflow & best practices Whether you’re new to machine learning or looking to refine your deployment skills, this video will guide you through the process, ensuring your models are scalable, reliable, and impactful. About The Instructor: Matt Maybeno is a Principal Software Engineer at SOCi. With a masters in Bioinformatics from SDSU, he utilizes his cross domain expertise to build solutions in NLP and predictive analytics. --- Connect with us on social! 🌐 Instagram:   / udacity   LinkedIn:   / udacity   Facebook:   / udacity   X/Twitter:   / udacity  

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