Before building any forecasting model, you need to understand what kind of structure you are dealing with. A time series is simply data ordered in time. But what makes it different from classical datasets is this: In many datasets, observations can be independent. In time series, observations are usually dependent on previous values. Yesterday influences... Continue Reading →
In 2022, I tried roller skating for the first time. I had no idea whether I could actually do it, so I bought the cheapest pair I could find from Decathlon. At the time, they were around €30. Of course, skates alone weren’t enough, I also needed a helmet, elbow pads, knee pads, and wrist... Continue Reading →
Special Topics in Time Series — Part 1 This semester, I started taking a course on time series analytics, and I’d like to share some of the ideas and concepts I’m learning along the way. Accuracy Is Not Enough Modern machine learning culture often prioritizes predictive performance. But the first philosophical anchor here is different:... Continue Reading →
