Primerjava programskih jezikov Python in R za namene strojnega učenja

diplomsko delo

Peter Zupan (Author), Iztok Fister (Mentor)

Abstract

V diplomski nalogi primerjamo programska jezika R in Python za namene strojnega učenja. Najprej razložimo, kaj je strojno učenje, nato opišemo algoritme, ki smo jih uporabili pri praktičnih primerih, ter predstavimo programska jezika R in Python. V nadaljevanju diplomskega dela na treh različnih primerih prikažemo delovanje obeh programskih jezikov. Nalogo zaključimo s primerjavo programskih jezikov na podlagi pridobljenih rezultatov in ugotovitev iz praktičnega dela.

Keywords

strojno učenje;programski jezik R;programski jezik Python;linearna regresija;odločitvena drevesa;nevronske mreže;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2020
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[P. Zupan]
UDC:	004.43:004.85(043.2)
COBISS:	40692739
Views:	408
Downloads:	121
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Comparison of Python and R programming languages for machine learning purposes
Secondary abstract:	In this thesis we compare programming languages R and Python for the purposes of machine learning. It opens with an explanation of what machine learning is, which is followed by a description of the algorithms used in practical examples, and an introduction to R and Python. We demonstrate the use of the two programming languages on three different examples, concluding with a comparison of R and Python based on the results and findings yielded by practical work.
Secondary keywords:	machine learning;R;Python;linear regression;decision trees;neural networks;
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Informatika in tehnologije komuniciranja
Pages:	IX, 51 f.
ID:	12022324