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Dominik Tuchyňa

Bachelor's thesis

Research of Fedora Status for Machine Learning

Research of Fedora Status for Machine Learning
Abstract:
Témou bakalárskej práce bolo identifikovať, či je distribúcia Fedora preferovaná v oblasti vývoja strojového učenia a taktiež vytvoriť nápomocný obsah pre začínajúcich programátorov v tomto novom, progresívne sa vyvíjajúcom obore. Okrem toho bola časť práce orientovaná na vyriešenie problému závislostí balíčkovania modulov SRPM s použitím systému založeného na strojovom učení, ktorý odporúča chýbajúce …more
Abstract:
The topic of this thesis was to find out whether the Fedora distribution attracts machine learning developers and also to create a guideline content for newcomers in this new, progressively developed field. In addition, part of the thesis research was also focused on solving the SRPM packaging dependency issue by using recommendation system based on machine learning algorithm. The model has two different …more
 

Keywords

python machine learning association rule learning data mining word2vec neural network embeddings embedding layers gensim rpm srpm jupyter apriori fp-growth gpu acceleration fedora ubuntu cuda opencl
 
Language used: English
Date on which the thesis was submitted / produced: 27. 5. 2019
Identifier: https://is.muni.cz/th/okn3p/

Thesis defence

  • Date of defence: 26. 6. 2019
  • Supervisor: RNDr. Adam Rambousek, Ph.D.
  • Reader: Mgr. Marek Grác, Ph.D.

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Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatiky
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Masaryk University

Faculty of Informatics

Bachelor programme / field:
Applied Informatics / Applied Informatics

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