Distributed Time Series in Machine Learning - ML 088

Today the panel discusses high level distributed time series models, using a hot dog stand company as the case study to anchor the understanding with these models. In this episode…Understanding use caseML flow models and eventsKPI forecastsMetadata outputsPrediction intervals for hotdog dataAutomated time series forecastsLibraries required for optimizationPractical tips managing the data andSetting up the data for consumptionManaging black swan eventsSponsorsTop End DevsCoaching | Top End DevsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.