This page uses the term “predictive model,” a technical term in the field of machine learning, metaphorically.
- I used the word “model” in Learning Cycle, but I thought it would be “predictive model” if we reduced the level of abstraction a little more.
- I was making Intellectual Production Techniques for Engineers Using LLM (Presentation Material) in 2024 and thought
- The existence of an abstract “forecasting model” will result in concrete “forecasting results” from it.
- Whether this specific prediction is correct or not is Verified by experiment.
- When it is predicted that some action will yield a beneficial result, it is practiced, and if the prediction is correct Beneficial results are obtained and gained., if the prediction is not, opportunities for improvement of the predictive model are obtained and gained.
- Predicted results are hypothesis for application. - So we verify it because it is a [hypothesis
This page is auto-translated from /nishio/予測モデル using DeepL. If you looks something interesting but the auto-translated English is not good enough to understand it, feel free to let me know at @nishio_en. I’m very happy to spread my thought to non-Japanese readers.