Understanding Online vs Offline Machine Learning in Time Series Analysis

Times series data is everywhere! I mean, seriously, try to think of some data that isn’t a time series. You have stock prices and weather data, which are the classics, but you also have a time series of images on your phone, time series log data coming off of your servers, and much more. In this episode, Anais from InfluxData helps us understand the range of methods and problems related to time series data. She also gives her perspective on when statistical methods might perform better than neural nets or at least be a more reasonable choice.

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Featuring:

• Anais Dotis-Georgiou – X
• Chris Benson – Website, GitHub, LinkedIn, X
• Daniel Whitenack – Website, GitHub, X

Show Notes:

• InfluxData
• InfluxDB
• M-Competition benchmarks

Something missing or broken? PRs welcome!