A Guide to Model Selection on possi.be

A Guide to Model Selection Part I: Introduction to Time Series

Fri, 26 Dec 2025 00:00:00 +0000

Note: In this series, I intentionally avoid equations and code, because model selection is primarily a conceptual decision, not a programming one.

A Guide to Model Selection Part II: Memory vs No memory

Sun, 22 Feb 2026 00:00:00 +0000

Last time we talked about what a Time Series is. This time, we are going to talk about what happens inside the “brain” of the AI. Specifically, we need to look at whether a model understands the last state (what just happened) or if it doesn’t.

A Guide to Model Selection Part III: Forecasting vs Classification

Sun, 22 Feb 2026 00:00:00 +0000

Ever wonder what we actually do after the AI “reads” all those pictures? In the last part, we talked about Stateless and Stateful thinking. Now, we need to talk about the Intention; the reason why we are recognizing those pictures in the first place.

A Guide to Model Selection Part VI: Frequency, latency, and right-sized models

Sun, 22 Feb 2026 00:00:00 +0000

In this part, we will talk about the two most critical factors you must consider before putting your model to work: Frequency and Latency.

A Guide to Model Selection Part V: Why some models fail silently on Time-series data

Sun, 22 Feb 2026 00:00:00 +0000

In Part I, we introduced the fundamentals of Time-Series. After exploring other critical AI model factors in the intervening chapters, we are returning to the temporal world. In this installment, we analyze why models often fail silently on Time-Series data; specifically focusing on time-frame mismatches and the struggle of isolating signal from noise.

A Guide to Model Selection Part VI: When we shouldn't use AI model

Sun, 22 Feb 2026 00:00:00 +0000

This is the final installment in my series, and it might feel a bit counter-intuitive.