Primena Jupyter Notebook python razvojnog okruženja za mašinsko učenje u obrazovanju

Ilić, Luka; Šijan, Aleksandar; Predić, Bratislav; Karabašević, Darjan

Repository
Conference papers
Primena Jupyter Notebook python razvojnog okruženja za maš…

Conference paper M33, paper at an international conference, published in full

Primena Jupyter Notebook python razvojnog okruženja za mašinsko učenje u obrazovanju

Luka Ilić, Aleksandar Šijan, Bratislav Predić, Darjan Karabašević

Informaciono društvo Srbije, 201–204, 2022

Open access, full text in the repository

Download PDF Preview in browser

Cite

Ilić, L., Šijan, A., Predić, B., & Karabašević, D. (2022). Primena Jupyter Notebook python razvojnog okruženja za mašinsko učenje u obrazovanju. Informaciono društvo Srbije, 201–204. https://nir.mef.edu.rs/download/downloadPDF/7a4289c0-29fe-491c-b404-6f938fed8c8c.pdf

@inproceedings{Ilic2022PrimenaJup,
  author       = {Ili{\'c}, Luka and {\v{S}}ijan, Aleksandar and Predi{\'c}, Bratislav and Karaba{\v{s}}evi{\'c}, Darjan},
  title        = {Primena Jupyter Notebook python razvojnog okru{\v{z}}enja za ma{\v{s}}insko u{\v{c}}enje u obrazovanju},
  booktitle    = {Informaciono dru{\v{s}}tvo Srbije},
  year         = {2022},
  pages        = {201--204},
  url          = {https://nir.mef.edu.rs/download/downloadPDF/7a4289c0-29fe-491c-b404-6f938fed8c8c.pdf},
  note         = {Available online}
}

TY  - CPAPER
AU  - Ilić, Luka
AU  - Šijan, Aleksandar
AU  - Predić, Bratislav
AU  - Karabašević, Darjan
TI  - Primena Jupyter Notebook python razvojnog okruženja za mašinsko učenje u obrazovanju
T2  - Informaciono društvo Srbije
PY  - 2022
SP  - 201
EP  - 204
SN  - 978-86-85525-27-8
UR  - https://nir.mef.edu.rs/repository/handle/bc409da0-83f4-4c28-ba72-15838a4a308c
ER  -

280 views, 107 downloads.

Details

Proceedings: Informaciono društvo Srbije
Pages: 201–204
Year: 2022
Conference: Zbornik radova 28. IKT konferencije “YU INFO 2022”
Conference date: 13-16. mart 2022. god., Kopaonik
ISBN: 978-86-85525-27-8

Journal article M22
Discovering the sustainable development goals achievement by European Union members using the WERO method.
Gabrijela Popović, Aleksandra Fedajev, Petar Mitić, Dragiša Stanujkić, Darjan Karabašević
International Journal of Environmental Science and Technology, 23(11), 675, 2026
DOI 10.1007/s13762-026-07483-9
Journal article M21
An adapted bounded fuzzy stepwise weight assessment ratio analysis (MF SWARA) method.
Dragiša Stanujkić, Darjan Karabašević, Gabrijela Popović, Alptekin Ulutas, Edmundas Kazimieras Zavadskas, Ieva Meidute-Kavaliauskiene
Romanian Journal of Information Science and Technology, 29(4), 349–362, 2026
Full text PDF DOI 10.59277/ROMJIST.2026.4.06
Journal article M51
Bibliometric research in the field of cybersecurity: Focus on artificial intelligence and attack detection
Aleksandar Šijan, Luka Ilić, Dejan Viduka, Chulung Lee, Bratislav Predić
Journal of Process Management and New Technologies, 14(1-2), 133–152, 2026
Full text PDF DOI 10.5937/jpmnt14-66097
Journal article M22
A Simulation-Based Latency-Aware Autoscaling Model for LMS Platforms in Kubernetes Environments
Marko Marković, Dragan Soleša, Darjan Karabašević
Electronics, 15(11), 2336, 2026
Full text PDF DOI 10.3390/electronics15112336
Journal article M21a
Development of the CRITIC-MARCOS method under triangular (p,q)-fuzzy numbers and its application in modulation technique selection
Muhammad Ismail, Darjan Karabašević, Pavle Brzaković, Asghar Khan, Tahir Zaman
AIMS Mathematics, 11(5), 14172–14210, 2026
Full text PDF DOI 10.3934/math.2026582

Primena Jupyter Notebook python razvojnog okruženja za mašinsko učenje u obrazovanju

Details

More by these authors

Discovering the sustainable development goals achievement by European Union members using the WERO method.

An adapted bounded fuzzy stepwise weight assessment ratio analysis (MF SWARA) method.

Bibliometric research in the field of cybersecurity: Focus on artificial intelligence and attack detection

A Simulation-Based Latency-Aware Autoscaling Model for LMS Platforms in Kubernetes Environments

Development of the CRITIC-MARCOS method under triangular (p,q)-fuzzy numbers and its application in modulation technique selection