BIG DATADA AXBOROT VA BILIM TUSHUNCHASI
Keywords:
Big Data, axborot, bilim, ma’lumot tahlili, sun’iy intellekt, mashinani o‘rganish, qaror qabul qilish, ma’lumotlarni boshqarish.Abstract
Mazkur maqolada Big Data texnologiyalarida axborot va bilim tushunchalarining ahamiyati va ularning o‘zaro bog‘liqligi tahlil qilinadi. Axborot va bilimning Big Data kontekstidagi mohiyati, ularning to‘planishi, qayta ishlanishi va tahlil qilinishi orqali qarorlar qabul qilish jarayoniga ta’siri yoritiladi. Shuningdek, axborotning turli manbalardan yig‘ilishi va ulardan ilmiy bilimlar hosil qilishning algoritmik yondashuvlari ko‘rib chiqiladi. Maqolada ma’lumotlarni samarali boshqarish, ularni bilimga aylantirish bosqichlari hamda bu jarayonda sun’iy intellekt va mashinani o‘rganish texnologiyalarining o‘rni muhokama qilinadi. Big Data texnologiyalarining turli sohalardagi amaliy qo‘llanilishi va ulardan kelib chiqadigan imkoniyatlar hamda muammolar haqida tavsiyalar beriladi.
References
1. "Data Science from Scratch: First Principles with Python" - Joel Grus
2. "Python for Data Analysis" - Wes McKinney
3. "An Introduction to Statistical Learning: with Applications in R" - Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
4. "Deep Learning" - Ian Goodfellow, Yoshua Bengio, Aaron Courville
5. "The Elements of Statistical Learning: Data Mining, Inference, and Prediction" - Trevor Hastie, Robert Tibshirani, Jerome Friedman
6. “Pattern Recognition and Machine Learning” - Christopher M. Bishop
7. “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” - Aurélien Géron
8. “Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking” - Foster Provost & Tom Fawcett
