MODEL ZA PREDIKCIJU PERFORMANSI SPORTISTA BAZIRAN NA TEHNIKAMA MAŠINSKOG UČENJA

  • Dejan Mijatović
Ključne reči: mašinsko učenje, predikcija, sportski rezultati, NBA

Apstrakt

Tema ovog istraživanja jeste izrada modela za predviđanje performansa sportista korišćenjem tehnika mašinskog učenja. Za potrebe modelovanja, velike količine podataka su prikupljene i obrađene. Model je na kraju evaluiran i testiran u praksi.

Reference

[1] Justin M. Weinhardt, Traci Sitzmann, Revolutionizing training and education? Three questions regarding massive open online courses (MOOCs), Human Resource Management Review, 2018
[2] Alison George, Free online MIT courses are an education revolution, New Scientist, Volume 219, Issue 2925, 2013
[3] Spyros Makridakis, The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms, Futures, Volume 90, 2017
[4] http://python.org
[5] C. Shearer, The CRISP-DM model: the new blueprint for data mining, J. Data Warehousing 5 (4) (2000)
[6] Garreta, R., & Moncecchi, G. (2013). Learning scikit-learn: Machine learning in python. Birmingham ; Mumbai: Packard publishing limited.
[7] http://scikit-learn.org/stable/documentation
[8] Yuanhao (Stanley) Yang (2015) Predicting Regular Season Results of NBA Teams Based on Regression Analysis of Common Basketball Statistics
Objavljeno
2019-07-31
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