Further reduce your time to AI with deep learning templates

One of the goals of Loud ML is to make machine learning simple and accessible to everyone. That's why, last summer, we created our TICK-L stack 1-Click ML tool -- point and click machine learning right inside Chronograph (part of the InfluxData TICK stack -- Telegraf, InfluxDB, Chronograf and Kapacitor, with added Loud ML machine learning). Before we made this tool, devops had to compose a model manually -- feature by feature, without any data visualization to preview input data, nor the ability to see the effect of some parameter settings, such as grouping by interval. There was also no data visualization on measurements, tag values or training time range selection either, yet can have a big impact on how the model fits the data for good predictions. Building a model from a data visualization was not a common way to do ML.