Introduction

Data skeptic time series is a podcast about how to prerdict the future based on historical, sequential data. In this episode, i interview alex mallan and henning lang the paper, deep problistic coupment, long term time series forecasting under periodic uncertainties. The idea of using copman theory in like a machine gowning comtext might be a little foreign to a lot of people who are familiar with general time series stuff. I thinki fairly new approach releas ing the contents of machine learning.