The feature store has become a hot topic in machine learning circles in the last few months, and for good reason. It addresses the most painful challenge in the ML lifecycle: dealing with data, or in other words, feature engineering.
Data storytelling focuses on communicating insights to audiences through the use of compelling visuals and narratives. It can give new perspectives on increasingly complex, expanding and rapidly changing data sets.
The feature store has become a hot topic in machine learning circles in the last few months, and for good reason. It addresses the most painful challenge in the ML lifecycle: dealing with data, or in other words, feature engineering.
A step by step tutorial covering experiment tracking complexity concerns and how to solve them with MLRun, a new open source framework which optimizes the management of machine learning operations.
Fight first-day churn with a data science platform that enables rapid deployment of a real-time operational ML pipeline at scale.
Extend Kubeflow’s functionality by enabling small teams to build complex real-time data processing and model serving pipelines.
Data Science Salon wrapped up last week, with tons of insightful talks on a large range of topics in the Media, Arts and Entertainment industries. Check out our roundup of some noteworthy sessions.
How data engineers can leverage ML pipelines to support complex data management tasks across multiple compute environments, bringing ML applications to production faster and easier.