From data to insights: Predicting workout types in Strava with Elasticsearch and data frame analytics
This is the seventh and final blog post in our Strava series. I will take you through a journey of data onboarding, manipulation, and visualization using Strava as a backdrop.
This is the sixth blog post in a series of ones to follow. I will take you through a journey of data onboarding, manipulation, and visualization using Strava as a backdrop.
Learn how to make advanced data science visualizations by using Vega to combine the strengths of Jupyter Notebooks and Kibana dashboards.
Learn how to apply user annotations, a new feature in Elastic machine learning, to augment your ML results with the information you have about your data.
Introduced in Elastic Stack 6.3, job validation for machine learning catches misconfigurations and helps you tweak bucket spans, partition fields and more.
Spin up a fully loaded deployment on the cloud provider you choose. As the company behind Elasticsearch, we bring our features and support to your Elastic clusters in the cloud.