MA’LUMOTLARBAZASINI SHAKLLANTIRISH: TEXNOLOGIYALAR VA ULARNING ISTIQBOLLARI
Ключевые слова:
Kalit so'zlar : Ma'lumotlar bazasi, Relatsion texnologiyalar, NoSQL, Bulutli texnologiyalar, AI, Big Data, Grafik bazalar.Аннотация
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.
Библиографические ссылки
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
