The Notions behind “Model-Based” and “Instance-Based” Learning in AI & ML

Written by sanjaykn170396 | Published 2022/12/15
Tech Story Tags: artificial-intelligence | machine-learning | datascience | statistics | data-analysis | ml | ai | hackernoon-top-story | hackernoon-es | hackernoon-hi | hackernoon-zh | hackernoon-vi | hackernoon-fr | hackernoon-pt | hackernoon-ja

TLDRA prelude article elucidating the fundamental principles and differences between “Model-based” & “Instagram-based “learning” learning in the branches of Artificial Intelligence & Machine learning. There are 2 different approaches used by algorithms to learn about the data- ‘Generalization’ and ‘Memorisation’ The learning pattern followed for mathematics is called “Generalisation” and “Memorization” are two different types of learning approaches.via the TL;DR App
no story
Written by sanjaykn170396 | Data scientist | ML Engineer | Statistician
Published by HackerNoon on 2022/12/15
ABOUTHow hackers start their afternoons. We publish tech stories and build publishing software.

READEntirely free library read by hundreds of millions to learn anything about any technology.

WRITEHackerNoon elevates quality technology writing far and wide across the interwebs.

PARTNERHackerNoon works directly with tech companies to place ads by content relevancy