MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services
About this Course
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this course: MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services. In this course you will learn how to set up automated monitoring of your data pipeline for prediction. Data drift, model drift and feedback loops can impair model performance and model stability, and you will learn how to monitor for those phenomena. You will also learn about setting triggers and alarms, so that operators can deal with problems with model instability. You will also cover ethical issues in machine learning and the risks they pose, and learn about the "Responsible Data Science" framework.Created by: Statistics.com
Level: Intermediate
Related Online Courses
La ciencia de los datos es soportada por diversas áreas de conocimiento, siendo el aprendizaje automático una de las más relevantes. ¿Y qué es esto? Es la creación de modelos predictivos, regre... more
HTML5 is the standard language of the Web, developed by W3C. For application developers and industry, HTML5 represents a set of features that people are able to rely on for years to come. HTML5 is... more
Desarrolla un buen conocimiento práctico de Linux, utilizando tanto la interfaz gráfica como la línea de comandos y conociendo las principales distribuciones de este sistema operativo de so... more
Explore open source networking projects, from The Linux Foundation and beyond, that are shaping the future of networking and telecoms. Designed for open source enthusiasts, university... more
Los dispositivos IoT conectados al Internet están creciendo de manera exponencial, e influyen en diferentes ámbitos, desde el empresarial hasta el de consumo. Este crecimiento a su vez impone un c... more