SUN’IY INTELLEKT VA DASTURLASH: O‘ZARO BOG‘LIQLIK VA RIVOJLANISH YO‘NALISHLARI

Authors

  • Sobirjonova Mushtariy Xayot qizi Author
  • Muxiddinova Ruxshona Yorqinjon qizi Author

Keywords:

Kalit so‘zlar: sun’iy intellekt, dasturlash, algoritm, mashinaviy o‘qitish, neyron tarmoqlar, axborot texnologiyalari.

Abstract

Annotatsiya. Mazkur maqolada sun’iy intellekt va dasturlash o‘rtasidagi o‘zaro bog‘liqlik hamda ularning zamonaviy axborot texnologiyalaridagi o‘rni ilmiy jihatdan tahlil etilgan. Sun’iy intellekt tizimlarining shakllanishi va rivojlanishida dasturlash tillari, algoritmlar va zamonaviy texnologiyalarning ahamiyati yoritilgan. Shuningdek, maqolada mashinaviy o‘qitish, chuqur o‘rganish va ma’lumotlarni qayta ishlash jarayonlarining dasturlash bilan uzviy aloqasi ko‘rib chiqilgan.

Tadqiqot natijasida sun’iy intellekt va dasturlashning o‘zaro integratsiyasi innovatsion yechimlarni yaratishda muhim omil ekanligi asoslab berilgan. Bundan tashqari, ushbu yo‘nalishlarning kelajakdagi rivojlanish tendensiyalari va ularning turli sohalardagi amaliy qo‘llanilishi yuzasidan xulosalar keltirilgan.

References

1. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.

2. Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.

3. Géron, A. (2019). Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (2nd ed.). O'Reilly Media.

4. Chollet, F. (2018). Deep Learning with Python. Manning Publications.

5. Hastie, T., Tibshirani, R., & Friedman, J. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd ed.). Springer.

6. McKinney, W. (2017). Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython (2nd ed.). O'Reilly Media.

7. Chollet, F., & Allaire, J. J. (2018). Deep Learning with R. Manning Publications.

8. Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., … Duchesnay, É. (2011). Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research, 12, 2825–2830.

9. Kelleher, J. D., Namee, B., & D'Arcy, A. (2015). Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies. MIT Press.

10. Chollet, F. (2021). Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD. Manning Publications.

Published

2026-03-27

How to Cite

Sobirjonova Mushtariy Xayot qizi, & Muxiddinova Ruxshona Yorqinjon qizi. (2026). SUN’IY INTELLEKT VA DASTURLASH: O‘ZARO BOG‘LIQLIK VA RIVOJLANISH YO‘NALISHLARI. JOURNAL OF NEW CENTURY INNOVATIONS, 97(1), 317-323. https://journalss.org/index.php/new/article/view/22790