MA’LUMOTLARBAZASINI SHAKLLANTIRISH: TEXNOLOGIYALAR VA ULARNING ISTIQBOLLARI

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  • Tojimamatov Isroil Nurmamatovich ##default.groups.name.author##
  • Muxsinova Sevinchxon Ikromjon qizi ##default.groups.name.author##

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Kalit so'zlar : Ma'lumotlar bazasi, Relatsion texnologiyalar, NoSQL, Bulutli texnologiyalar, AI, Big Data, Grafik bazalar.

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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. 

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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

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2024-12-23