ADABIYOTLAR
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Aurelian Geron, Hands on Machine Learning with Scikit-Learn Keras&Tensorflow // Second edition Concepts, Tools, and Techniques to Build Intelligent Systems, 2019, 510 pages
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Oliver Theobald, “Machine Learning for Absolute Beginners”, second edition, 2017, 128 pages
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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.
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Stanford course CS231n on “Convolutional Neural Networks for Visual Recognition”
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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
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Carreras, X., & Marquez, L. (2001). Boosting trees for anti-spam email filtering. In Proceedings of the Conference on Recent Advances in Natural Language Processing (RANLP-01), Tzigov Chark, Bulgaria (pp. 12-14).
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Mitchell, T., & Chen, L. (2003). Learning to filter spam e-mail: A comparison of a naive Bayesian and a memory-based approach. In Proceedings of the AAAI-2003 Workshop on Learning for Text Categorization (Vol. 1, pp. 27-30).
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Tjøstheim, I., & Kvellestad, T. (2004). Email classification using support vector machines. In Proceedings of the Fourth International Conference on Intelligent Data Engineering and Automated Learning (pp. 674-681). Springer.
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