Mashinali o‘qitishga kirish Nosirov Xabibullo xikmatullo o‘gli Falsafa doktori (PhD), tret kafedrasi mudiri


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Mashinali o\'qitishga kirish 20-ma\'ruza Nosirov Kh

Mashinali o‘qitishga kirish

Nosirov Xabibullo xikmatullo o‘gli Falsafa doktori (PhD), TRET kafedrasi mudiri

O‘qituvchisiz (Unsupervised) o‘qitish algoritmlari

Nosirov Xabibullo xikmatullo o‘gli Falsafa doktori (PhD), Dotsent, TRET kafedrasi mudiri

Foydali havolalar

  • https://www.mathworks.com/discovery/unsupervised-learning.html
  • https://www.mathworks.com/discovery/cluster-analysis.html
  • https://colab.research.google.com/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/05.11-K-Means.ipynb
  • https://ru.wikipedia.org/wiki/%D0%9E%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D0%B5_%D0%B1%D0%B5%D0%B7_%D1%83%D1%87%D0%B8%D1%82%D0%B5%D0%BB%D1%8F
  • https://www.iiitd.edu.in/~anils/ppt/Unsupervised%20Learning_CSE543_ASh.pdf
  • https://www.researchgate.net/publication/235328198_Unsupervised_Learning_and_Clustering
  • https://www.researchgate.net/publication/342121950_What_is_UnSupervised_Learning
  • https://icapeople.epfl.ch/mekhan/pcml15/peter-dayan-unsupervised-learning.pdf

Foydali havolalar (2)

  • Hinton, Geoffrey; Sejnowski, Terrence (1999). Unsupervised learning: foundations of neural computation. MIT press. ISBN 978-0262581684.
  • Roman, victor (2019-04-21). "Unsupervised machine learning: clustering analysis". Medium. Retrieved 2019-10-01.
  • Snow, Dr Derek (2020-03-26). "Machine learning in asset management: part 2: portfolio construction—weight optimization". Journal of financial data science. Doi:10.3905/jfds.2020.1.029 (inactive 2020-10-10). Retrieved 2020-05-16.
  • Jordan, Michael i.; Bishop, Christopher M. (2004). "Neural networks". In Allen B. Tucker (ed.). Computer science handbook, second edition (section vii: intelligent systems). Boca Raton, Florida: chapman & hall/CRC press LLC. Isbn 1-58488-360-x.
  • Hastie, Trevor, Robert Tibshirani, Friedman, Jerome (2009). The elements of statistical learning: data mining, inference, and prediction. New York: springer. Pp. 485–586. ISBN 978-0-387-84857-0.

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