O‘zbekiston respublikasi raqamli texnologiyalar vazirligi muhammad al‑xorazmiy nomidagi

70-89 ball «yaxshi»
Fanini mustaqil mushohada qilish.
Fan bo‘yicha olgan bilimlarini amalda qo‘llay olish. Mohiyatini tushuntirish.
Bilish, aytib berish. Tasavvurga ega bo‘lish.

60-69 ball «qoniqarli» Fan mohiyatini tushuntirish. Bilish, aytib berish. Fan haqida tasavvurga ega bo‘lish.
0-59 ball «qoniqarsiz» Fan haqida aniq tasavvurga ega bo‘lmaslik. Bilmaslik.
Reyting baholash turlari	Joriy nazorat	Maksimal ball (20)	O’tkazish vaqti
	1-5 ta amaliyot ishlarini hisoblash va hisobot qilish	20	O’quv jarayoni grafigi bo‘yicha
	Oraliq nazorat	Maksimal ball (20)	O’tkazish vaqti
	oraliq nazorat yozma ish, test (ma’ruza mashg‘ulot o‘qituvchisi tomonidan qabul qilinadi).	20	O’quv jarayoni grafigi bo‘yicha
	Mustaqil ish	10
	Yakuniy nazorat	50	Semestr davomida
	Fan bo‘yicha jami	100

Asosiy va qo‘shimcha o‘quv adabiyotlar hamda axborot manbalari.

Asosiy adabiyotlar
	Aurelian Geron, Hands on Machine Learning with Scikit-Learn Keras&Tensorflow // Second edition Concepts, Tools, and Techniques to Build Intelligent Systems, 2019, 510 pages
	Oliver Theobald, “Machine Learning for Absolute Beginners”, second edition, 2017, 128 pages
	Жуков Л.А., Решетникова Н.В. Приложения нейронных сетей: Учебное пособие для студентов, учащихся лицея и ЗПШНИ / Л. А. Жуков, Н. В. Решетникова. Красноярск: ИПЦ КГТУ, 2007. 154 с.
	Галушкин А. И. Нейронные сети: основы теории. – М.: Горячая линия–. Телеком, 2012. – 496 с.: ил. ISBN 978-5-9912-0082-0
Tavsiya qilinadigan qo‘shimcha adabiyotlar
	Tanqidiy tahlil, Qat’iy tartib-intizom va shaxsiy javobgarlik-har bir rahbar faoliyatining kundalik qoidasi bo‘lishi kerak. Sh.M.Mirziyoyev, O‘zbekiston, varaq 104, 2017. 5000 s.
	2017-2022 Harakatlar strategiyasi. Sh.M.Mirziyoyev, Adolat, varaq 112, 2017. 4000 s.
	Heidelberg, S. B. (2005). Introduction to Machine Learning Using Neural Nets. Retrieved on 9/02/2015 from http://link.springer.com/chapter/10.1007/3-540-27335-2_7
	Heskes, Tom and Barber, David. (2014). Neural Networks. Retrieved from http://www.eolss.net/Eolss-sampleAllChapter.aspx
	Mano, C. (2014). Definition of neural network. Retrieved on June, 2014 from http://www.ehow.com/print/about_5585309_definition-neural-etworks.html
	Mano, C. (2014). Examples of artificial neural network. Retrieved on June, 2014 from http://www.ehow.com/print/about_5585309_definition-neural-networks.html
	Mujeeb, R. (2012). Introduction to artificial neural network and machine learning. Palakkad: Government engineering college, sreekrishnapuram.
	Sundal, M. K. et al. (2014). Introduction. Retrieved on 20th Nov., 2014 from http://nptel.ac.in/courses/102106023/
	Stanford course CS231n on “Convolutional Neural Networks for Visual Recognition”
	Heidelberg, S. B. (2005). Introduction to Machine Learning Using Neural Nets. Retrieved on 9/02/2015 from http://link.springer.com/chapter/10.1007/3-540-27335-2_7
	М. Тим Джонс Программирование искусственного интеллекта в приложениях // Пер. с англ. Осипов А. И. — М.: ДМК Пресс, 2006. — 312
Elektron manbalar:
	https://en.wikipedia.org/wiki/Artificial_intelligence.
	https://icenamor.github.io/files/books/Hands-on-Machine-Learning-with-Scikit-2E.pdf
	http://cs231n.stanford.edu/
	https://www.sciencedaily.com/news/computers_math/artificial_intelligence
	https://en.wikipedia.org/wiki/Artificial_neural_network
	http://neuralnetworksanddeeplearning.com/;