MA’LUMOTLARBAZASINI SHAKLLANTIRISH: TEXNOLOGIYALAR VA ULARNING ISTIQBOLLARI
##semicolon##
Kalit so'zlar : Ma'lumotlar bazasi, Relatsion texnologiyalar, NoSQL, Bulutli texnologiyalar, AI, Big Data, Grafik bazalar.Abstrak
Annotatsiya: Ushbu maqola ma'lumotlar bazasini shakllantirishda
foydalaniladigan texnologiyalarni va ularning istiqbollarini tahlil qiladi. Relatsion va
NoSQL texnologiyalari, katta hajmdagi ma'lumotlar platformalari, bulutli
texnologiyalar va AI integratsiyalari haqida so'z yuritiladi.
##submission.citations##
Foydalanilgan adabiyotlar
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
