Books: * Adaptation in natural section Video: * [Recurrent Neural Networks](https://www.youtube.com/watch?v=UNmqTiOnRfg&list=PLs8w1Cdi-zvavXlPXEAsWIh4Cgh83pZPO) * [Beginner Intro to Neural Networks](https://www.youtube.com/watch?v=ZzWaow1Rvho&list=PLxt59R_fWVzT9bDxA76AHm3ig0Gg9S3So) * [How I'm Learning AI and Machine Learning](https://www.youtube.com/watch?v=OypPjvm4kiA&list=PL3XtGMELeTxytyFKrUu87EudAJiO4XK0u) * [Neural networks](https://www.youtube.com/watch?v=SGZ6BttHMPw&list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH) * [Luis Serrano](https://www.youtube.com/channel/UCgBncpylJ1kiVaPyP-PZauQ/playlists) * [Нейронная сеть. Пытаюсь познакомиться](https://www.youtube.com/watch?v=lDxyGKGVq3s) Article: * Neuroevolution of augmenting topologies * [Кластеризація методом к–середніх](https://uk.wikipedia.org/wiki/%D0%9A%D0%BB%D0%B0%D1%81%D1%82%D0%B5%D1%80%D0%B8%D0%B7%D0%B0%D1%86%D1%96%D1%8F_%D0%BC%D0%B5%D1%82%D0%BE%D0%B4%D0%BE%D0%BC_%D0%BA%E2%80%93%D1%81%D0%B5%D1%80%D0%B5%D0%B4%D0%BD%D1%96%D1%85) * [Метод k-ближайших соседей](https://ru.wikipedia.org/wiki/%D0%9C%D0%B5%D1%82%D0%BE%D0%B4_k-%D0%B1%D0%BB%D0%B8%D0%B6%D0%B0%D0%B9%D1%88%D0%B8%D1%85_%D1%81%D0%BE%D1%81%D0%B5%D0%B4%D0%B5%D0%B9) * [Метод опорных векторов](https://ru.wikipedia.org/wiki/%D0%9C%D0%B5%D1%82%D0%BE%D0%B4_%D0%BE%D0%BF%D0%BE%D1%80%D0%BD%D1%8B%D1%85_%D0%B2%D0%B5%D0%BA%D1%82%D0%BE%D1%80%D0%BE%D0%B2) * [Генерування псевдовипадкових чисел](https://github.com/iamprovidence/Artificial_Intelligence/files/2949328/labwork_01.pdf) * [Вступна лекція.pdf](https://github.com/iamprovidence/Artificial_Intelligence/files/2949329/default.pdf) * [Методичні вказівки](https://github.com/iamprovidence/Artificial_Intelligence/files/2949330/default.pdf) * [Опорний](https://github.com/iamprovidence/Artificial_Intelligence/files/2949331/default.pdf) * [Структура проекту](https://github.com/iamprovidence/Artificial_Intelligence/files/2949332/1.pdf) * [ДВВС в університеті](https://github.com/iamprovidence/Artificial_Intelligence/files/2949349/University.zip)
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