Naslov
Machine Learning and the Philosophical Problems of Induction

Autori
Lauc, Davor

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Guide to Deep Learning Basics

Urednik/ci
Skansi, Sandro

Izdavač
Springer

Godina
2020

Raspon stranica
93-106

ISBN
978-3-030-37590-4

Ključne riječi
Machine learning ; New riddle of induction ; No-free-lunch theorems ; Problem of similarity ; Philosophy of computing

Sažetak
This chapter provides an analysis of the relationship of the traditional problems of justifying inductive inferences to the field of machine learning. After the summary of the philosophical problems of induction, text focus on the two philosophical problems relevant to the supervised and unsupervised machine learning. The former is a famous new riddle of induction devised by N. Goodman. The author argues that remarkable results in the theory of machine learning, no-free-lunch theorems are a formalisation of this traditional philosophical problem. Consequently, lengthy philosophical discussions on this problem are relevant to these results and vice versa. The later problem is the problem of similarity, as identified by N. Goodman and W. V. Quine. It is claimed that those discussions can help practitioners of unsupervised learning to be aware of its limitations.

Izvorni jezik
Engleski

Znanstvena područja
Filozofija

POVEZANOST RADA