DATA SCIENCE UCHUN ZARUR STATISTIK KOMPETENSIYALAR: TAHLILIY YONDASHUV
DATA SCIENCE UCHUN ZARUR STATISTIK KOMPETENSIYALAR: TAHLILIY YONDASHUV
Ushbu maqolada data science sohasi uchun zarur bo‘lgan statistik kompetensiyalar chuqur tahlil qilinadi. Statistik tafakkur, ehtimollik nazariyasi, gipoteza sinovi, regressiya modellari va A/B testlar kabi metodologik yondashuvlarning data science doirasidagi o‘rni yoritilgan. Sohaning rivoji uchun takliflar berilgan va statistik kompetensiyalarning tahliliy qaror qabul qilishdagi ahamiyati asoslab berilgan.
- Tashkent State University of Economics Uzbekistan
statistik kompetensiyalar, data science, ehtimollik, gipoteza sinovi, regressiya, tahliliy yondashuv, A/B test, statistik tafakkur., : statistik kompetensiyalar, data science, ehtimollik, gipoteza sinovi, regressiya, tahliliy yondashuv, A/B test, statistik tafakkur.
statistik kompetensiyalar, data science, ehtimollik, gipoteza sinovi, regressiya, tahliliy yondashuv, A/B test, statistik tafakkur., : statistik kompetensiyalar, data science, ehtimollik, gipoteza sinovi, regressiya, tahliliy yondashuv, A/B test, statistik tafakkur.
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
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