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# Дана последовательность A из n элементов и число x, требуется найти э

Words of a language are grouped into classes which show similar syntactic behavior. Th * a luxury cruise ship

…r Space Models, VSM [Salton, Wong, Yang, 1975] : every text is a vector in a space of terms. Usually is used along with cosine similarity Generalized Vector Space Models, GVSM [Wong, Ziarko, Wong, 1985]: introduces a term to term correlation in the VSM.

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select (select title from title t where t.id=ci.movie_id) from cast_info ci; …lect production_year, count(1) as cnt from title group by production_year) t

…езы о положении, гипотезы о рассеивании: t- и z-критерии Стьюдента, критерии хи-квадр …величин с помощью критериев хи-квадрат и G-квадрат. Коэффициенты V Крамера и γ для по

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Телеграм-чат курса: [https://t.me/joinchat/G-gl0yuxeVnZjgl5 инвайт] 1. [https://web.stanford.edu/~hastie/ElemStatLearn/ Hastie T., Tibshirani R., Friedman J. The elements of statistical learning: data min

'''[https://t.me/joinchat/AAAAAEpqVLPKBWkKxDWT1Q Канал в telegram]''' …случайного блуждания с использованием O(t) дополнительных случайных битов.

…Sain, S. L., & Guo, K. (2012). Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining. Jou * Friedman, J., Hastie, T., & Tibshirani, R. (2001). The elements of statistical learning (Vol. 1, pp

# Ghemawat S., Gobioff H., Leung S.T. The Google File System // ACM Symposium on Operating Systems Principles (S # Chang F. et al. Bigtable: A distributed storage system for structured data // USENIX Symposium on Opera

| colspan="5" | [https://www.hse.ru/en/staff/voznesenskaya Voznesenskaya T.V.] || 201 - 1: Piatskii G.G. <br> [mailto:piatskgeorge@mail.ru piatskgeorge@mail.ru], tg: [https://tlgg

…Sain, S. L., & Guo, K. (2012). Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining. Jour * Friedman, J., Hastie, T., & Tibshirani, R. (2001). The elements of statistical learning (Vol. 1, pp

1. [https://web.stanford.edu/~hastie/ElemStatLearn/ Hastie T., Tibshirani R., Friedman J. The elements of statistical learning: data min

G 1-2 modules= G cumulative 1-2 modules* 0.6 + G exam 2 module* 0.4 <br/> G cumulative 1-2 modules = G attendance, classwork * 0,4 + G homework * 0,3+ G tests * 0,3

…Sain, S. L., & Guo, K. (2012). Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining. Jour * Friedman, J., Hastie, T., & Tibshirani, R. (2001). The elements of statistical learning (Vol. 1, pp

…анализ, PCA, t-SNE, метод k-ближайших соседей, A/B-тестирование *Wickham, H., & Grolemund, G. (2016). R for Data Science : Import, Tidy, Transform, Visualize, and Mod

$$G(sku,qty, zone, position)=3600/Productivity* '''Qty'''+comfort+scan*T_sc*''' The distance between the stations is $a=8m$.

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…ункций. Теоремы Лиувилля (формулировки). [A, стр. 7-11, 14-16]

| colspan="5" | [https://www.hse.ru/en/staff/voznesenskaya Voznesenskaya T.V.] || 211 - 1: Piatskii G.G. <br> [mailto:piatskgeorge@mail.ru piatskgeorge@mail.ru], tg: [https://tlgg

Телеграм-чат курса: [https://t.me/+0sog9DL9glAxZWVi инвайт] 1. [https://web.stanford.edu/~hastie/ElemStatLearn/ Hastie T., Tibshirani R., Friedman J. The elements of statistical learning: data min

…Economics (HSE). The course is classified as an compulsory subject; it is a four-module course (for the 2nd year students) || [https://t.me/nchechulin Nikolay Chechulin]

G 1-2 modules = G cumulative 1-2 modules * 0.6 + G exam 2 module* 0.4 <br/> G cumulative 1-2 modules = G attendance, classwork * 0,4 + G homework * 0,3+ G tests * 0,3

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