MLOps - Automated Machine Learning Pipelines скачать в хорошем качестве

MLOps - Automated Machine Learning Pipelines

Application: http://skirunrecommender.com/ Code: https://github.com/gregwchase/ski-rec... Within machine learning, the hardest aspect often becomes deploying to production, until the time comes to address the issue. Applied at scale, this issue can hinder deployment, and at the worst, kill the project entirely. In this remote event, attendees will learn: State of Machine Learning Why do ML projects & teams struggle to reach production? Working as a single data scientist at a startup ML project management Demo - Building a CI/ CD ML Pipeline Monitoring (tentative) Cloud best practices About Our Speaker: Greg Chase is a machine learning engineer, with an emphasis on recommendation systems, natural language processing, and how this relates to human behavior. In the past, he's been responsible for developing, deploying, and maintaining multiple machine learning projects in production. He’s also been responsible for maintaining cloud infrastructure, advising on best practices, and reducing spend where applicable.