About this episode
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. Join the discussion Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Sponsors: DigitalOcean – DigitalOcean now offers three managed databases — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at do.co/changelog . KubeCon + CloudNativeCon (San Diego) – The Cloud Native Computing Foundation’s flagship Kubernetes community conference which gathers adopters and technologists from leading open source and cloud native communities. Learn more and register — get 10% off with the code KCNAPRACTICALAI19 Feel free to use the Convince Your Boss letter in part or in full so you can your team can attend. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token . Download Brave for free and give tipping a try right here on changelog.com . 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!