ILMIY-TADQIQOT ISHLARINING NATIJADORLIGINI OSHIRISHDA SUN’IY INTELLEKT VA MATEMATIK MODELLASHTIRISH METODLARI

Authors

  • Ortiqova Sabinabonu Dilshod qizi Sharof Rashidov nomidagi Samarqand davlat universiteti Urgut filiali talabasi Author
  • Oblomurodov Elmurod Begmurod o’g’li Sharof Rashidov nomidagi Samarqand davlat universiteti Urgut filiali assistenti Author

Keywords:

ilmiy-tadqiqot, sun’iy intellekt, regressiya, optimallashtirish, statistik tahlil, modellashtirish.

Abstract

Mazkur maqolada ilmiy-tadqiqot ishlarining samaradorligini oshirishda sun’iy intellekt, matematik modellashtirish va statistik metodlarning ahamiyati keng yoritilgan. Tadqiqot jarayonini optimallashtirish uchun innovatsion yondashuvlar va aniq matematik formulalar asosida amaliy yechimlar taklif etilgan.

References

1. Mayer-Schönberger, V., & Cukier, K. (2013). Big Data: A Revolution That Will Transform How We Live, Work, and Think. Houghton Mifflin Harcourt.

2. Mitchell, T. (1997). Machine Learning. McGraw-Hill.

3. Bishop, C. M. (2006). Pattern Recognition and Machine Learning. Springer.

4. James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An Introduction to Statistical Learning. Springer.

5. Montgomery, D. C., & Runger, G. C. (2014). Applied Statistics and Probability for Engineers. Wiley.

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Published

2026-03-18

Issue

Vol. 2 No. 9 (2026): ANALYSIS OF MODERN SCIENCE AND INNOVATION

Section

Articles