⚡️“Ilm-fan va innovatsion rivojlanish” jurnalining 2024-yil 2-sonida Toshkent axborot texnologiyalari universiteti “Axborot texnologiyalarining dasturiy ta’minoti” kafedrasi mudiri, t.f.d., dotsent Raximov Nodir Odilovich hamda tayanch doktorant Xasanov Dilmurod Rasul o‘g‘li tomonidan yozilgan “Mashinali o‘qitishning tasniflash algoritmlari yordamida mintaqalar kesimida ekinlarni tanlash” nomli maqola chop etilmoqda.
✅Ushbu maqolada qishloq xo‘jaligida hududlar va iqlim sharoitidan kelib chiqqan holda, keyingi mavsum uchun ekilishi mumkin bo‘lgan ekin turini tanlashda ko‘maklashuvchi tizim ishab chiqish maqsadida mashinali o‘qitish algoritmlari asosida bashorat qilish yondashuvi bo‘yicha tadqiqot olib borilganligi va uning natijalari o‘z aksini topgan. Tadqiqot davomida sun’iy intellekt modelini yaratish algoritmlarining asosiy matematik mohiyati, asosiy tushunchasi va giperparametrlari o‘rganilib, tadqiqot uchun tanlangan ma’lumotlar to‘plamidan foydalangan holda, har bir model tahlil qilindi va kerakli natijalar olindi.
⚡️“Ilm-fan va innovatsion rivojlanish” jurnalining 2024-yil 2-sonida Toshkent axborot texnologiyalari universiteti “Axborot texnologiyalarining dasturiy ta’minoti” kafedrasi mudiri, t.f.d., dotsent Raximov Nodir Odilovich hamda tayanch doktorant Xasanov Dilmurod Rasul o‘g‘li tomonidan yozilgan “Mashinali o‘qitishning tasniflash algoritmlari yordamida mintaqalar kesimida ekinlarni tanlash” nomli maqola chop etilmoqda.
✅Ushbu maqolada qishloq xo‘jaligida hududlar va iqlim sharoitidan kelib chiqqan holda, keyingi mavsum uchun ekilishi mumkin bo‘lgan ekin turini tanlashda ko‘maklashuvchi tizim ishab chiqish maqsadida mashinali o‘qitish algoritmlari asosida bashorat qilish yondashuvi bo‘yicha tadqiqot olib borilganligi va uning natijalari o‘z aksini topgan. Tadqiqot davomida sun’iy intellekt modelini yaratish algoritmlarining asosiy matematik mohiyati, asosiy tushunchasi va giperparametrlari o‘rganilib, tadqiqot uchun tanlangan ma’lumotlar to‘plamidan foydalangan holda, har bir model tahlil qilindi va kerakli natijalar olindi.
At the start of 2018, the company attempted to launch an Initial Coin Offering (ICO) which would enable it to enable payments (and earn the cash that comes from doing so). The initial signals were promising, especially given Telegram’s user base is already fairly crypto-savvy. It raised an initial tranche of cash – worth more than a billion dollars – to help develop the coin before opening sales to the public. Unfortunately, third-party sales of coins bought in those initial fundraising rounds raised the ire of the SEC, which brought the hammer down on the whole operation. In 2020, officials ordered Telegram to pay a fine of $18.5 million and hand back much of the cash that it had raised. The Dow Jones Industrial Average fell 230 points, or 0.7%. Meanwhile, the S&P 500 and the Nasdaq Composite dropped 1.3% and 2.2%, respectively. All three indexes began the day with gains before selling off. Although some channels have been removed, the curation process is considered opaque and insufficient by analysts. The S&P 500 fell 1.3% to 4,204.36, and the Dow Jones Industrial Average was down 0.7% to 32,943.33. The Dow posted a fifth straight weekly loss — its longest losing streak since 2019. The Nasdaq Composite tumbled 2.2% to 12,843.81. Though all three indexes opened in the green, stocks took a turn after a new report showed U.S. consumer sentiment deteriorated more than expected in early March as consumers' inflation expectations soared to the highest since 1981. As the war in Ukraine rages, the messaging app Telegram has emerged as the go-to place for unfiltered live war updates for both Ukrainian refugees and increasingly isolated Russians alike.
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