Mustaqil ta’lim mavzulari

Tasdiqlayman” O‘quv ishlar bo‘yicha direktor o‘rinbosari T. M. Abdullayev 2023 yil “ ” “ ” mashinali o‘qitishga kirish fani bo‘yicha

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Mashinali o\'qitish ki EN
1. Anketa (talabalar), 3-mavzu, conference, 12 labaratoriya ishi, Маълумотлар тузилмаси ва алгоритмлар узб, Abduvositaka, Saralash algoritmlari, Akademik yozuv 2 Omonboyev Rashidbek 12, kontakt hodisalar, golosariy, Operatsion tizimlar uz, 1 - lesson (internet), 2-маруза мавзуси Симулятор, dars tahlili, 6666666666666666666666666666666666666

Mustaqil ta’lim mavzulari

Mustaqil ta’lim (MT)

1.	Amaliy mashg‘ulotlarga tayyorgarlik ko‘rish va uy vazifalarini bajarish	50 soat
2.	Vaziyatli masalalar(kazuslar) tuzish	15 soat
3.	Internet manbalari bilan ishlash	15 soat
4.	Anjumanlarga tezislar tayyorlash	6 soat
5.	Berilgan mavzular bo‘yicha interfaol taqdimotlar tayyorlash	20 soat

Mustaqil ta’lim mavzulari

1.	_{Building a regression model and evaluating the accuracy of the model predicting its cost and class (business, economy)based on a large number of characteristics characterizing the house, using special libraries of the Python programming language.}
2.	_{Implementation of training a classification and clustering model using the example of an iris flower using logistic regression, KNN, kmeans and multilevel neural networks, as well as evaluating the accuracy of the model.}
3.	_{Preparation of a complete draft of a handwritten Arabic number recognition system based on multilevel neural networks using the TensorFlow and Keras libraries and the formation of an appropriate training sample and training of a recognition model using the Python programming language.}
4.	_{Development of a human voice audit program using the Sklearn and Keras libraries based on machine learning algorithms (using the example of the Uzbek language).}
5.	_{Development of software for auditing a user by facial image using TensorFlow and Keras libraries based on machine learning algorithms.}
6.	_{Principles of setting hyperparameters in a neural network.}
7.	_{Modeling and programming of time-series-dependent data using machine learning algorithms.}
8.	_{Areas of application of enhanced (reinterpreted) learning algorithms.}
9.	_{Implementation of natural language processing tasks through machine learning (text classification, identification of named objects from text, text generalization, machine translation).}
10.	_{Application of machine learning algorithms in various fields (medicine, economics, industry, manufacturing, government activities).}
11.	_{Recommendation systems. The role of machine learning algorithms in it.}

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Tasdiqlayman” O‘quv ishlar bo‘yicha direktor o‘rinbosari T. M. Abdullayev 2023 yil “ ” “ ” mashinali o‘qitishga kirish fani bo‘yicha

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