DATA SCIENCE
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Kalit so'zlar: Data Science, tarmoqlar, ma’lumot, informatika, sun'iy intellect, vizualizatsiya, dasturlar, algoritmlar, machine learning.Abstrak
Annotatsiya
Mazkur maqolada Data Science fani va uning zamonaviy texnologiyalar
rivojlanishidagi o‘rni tahlil qilinadi. Unda ma’lumotlarni to‘plash, qayta ishlash va
ulardan foydali bilimlarni ajratib olish jarayonlari batafsil yoritilgan. Asosiy e’tibor
ma’lumotlar ilmida qo‘llaniladigan statistik tahlil usullari, mashinani o‘qitish
(Machine Learning) algoritmlari hamda katta hajmdagi ma’lumotlarni boshqarish
uchun mo‘ljallangan vositalarga qaratilgan. Maqolada Data Science’ning amaliy
sohalarda qo‘llanilishi, jumladan, tibbiyot, marketing, moliya va ijtimoiy sohalardagi
ahamiyati ko‘rib chiqiladi. Shu bilan birga, ushbu sohaning muammolari va
kelajakdagi rivojlanish istiqbollari ham muhokama qilingan.
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Foydalanilgan adabiyotlar:
1. https://aws.amazon.com/what-is/data-science/
2. https://www.sudeep.co/data-science/2018/02/09/Understanding-the-Data-Science-
Lifecycle.html
3. https://www.googleadservices.com/pagead/aclk?sa=L&ai=DChcSEwjOvoySuIm
KAxVxC6IDHRg3L4IYABAEGgJsZQ&ae=2&aspm=1&co=1&ase=2&gclid=Cj
wKCAiA0rW6BhAcEiwAQH28IvNPINqdcFvnxyGCyipSRzv2EUBfHyOZlGX5
Ep9GCYnUh3Yyzxa0LBoCq7cQAvD_BwE&ohost=www.google.com&cid=CA
ESV-D2xcaBfoVbJ-
bn5Ip9ECKOTaqc6YVHnlEwfrDDbnnwvZkrPuDkUG4dOLLRM6lbJtsvhG25cj3
-
Gs0S8gwIDThIgDQhu_KqxRze6PzQp7abcdsrZtKR9g&sig=AOD64_0Ht60XjLo
tFb69ncVylT57APycKA&q&nis=4&adurl&ved=2ahUKEwj89IaSuImKAxXEHB
AIHb4lBs4Q0Qx6BAhUEAE
4. https://www.googleadservices.com/pagead/aclk?sa=L&ai=DChcSEwjOvoySuIm
KAxVxC6IDHRg3L4IYABACGgJsZQ&ae=2&aspm=1&co=1&ase=2&gclid=Cj
wKCAiA0rW6BhAcEiwAQH28InEilPyV8keNJWkRW87drmcOP9LL5IynVDY
F1rFAaf2k27shAT6BFhoCjq4QAvD_BwE&ohost=www.google.com&cid=CAE
SV-D2xcaBfoVbJ-
bn5Ip9ECKOTaqc6YVHnlEwfrDDbnnwvZkrPuDkUG4dOLLRM6lbJtsvhG25cj3
-
Gs0S8gwIDThIgDQhu_KqxRze6PzQp7abcdsrZtKR9g&sig=AOD64_3UR1wu_1
IqZyhGiQD48ONgQaq2Dg&q&nis=4&adurl&ved=2ahUKEwj89IaSuImKAxXE
HBAIHb4lBs4Q0Qx6BAhXEAM
5. https://www.googleadservices.com/pagead/aclk?sa=L&ai=DChcSEwjOvoySuIm
KAxVxC6IDHRg3L4IYABAAGgJsZQ&ae=2&aspm=1&co=1&ase=2&gclid=Cj
wKCAiA0rW6BhAcEiwAQH28IvWdlHBwjlE6il3Fwwl76Wd-
7FN06rMfxow4pD_LsIzvmO2FfYYE0BoC2UEQAvD_BwE&ohost=www.googl
e.com&cid=CAESV-D2xcaBfoVbJ-
bn5Ip9ECKOTaqc6YVHnlEwfrDDbnnwvZkrPuDkUG4dOLLRM6lbJtsvhG25cj3
-
Gs0S8gwIDThIgDQhu_KqxRze6PzQp7abcdsrZtKR9g&sig=AOD64_2aIRXOpE
Gsplp0N_w4yTnJEJQ78w&q&nis=4&adurl&ved=2ahUKEwj89IaSuImKAxXEH
BAIHb4lBs4Q0Qx6BAhVEAM
6. https://en.wikipedia.org/wiki/Data_science
7. https://www.ibm.com/topics/data-science
8. https://www.w3schools.com/datascience/