Andrii Gakhov

data mining probabilistic data structure data preprocessing hyperloglog big data similarity api dissimilarity visualisation elasticsearch bloom filter count min sketch linear counting minhash data analysis median mean python swagger pdsa counting lean software development agile software development mllib apriori algorithm decision theory association rules market basket analysis decisions under risk decisions under ignorance frequent patterns discretization normalization quartile data reduction data integration histogram bdd каскадная модель xp programming scrum tdd optimization clean code commenting naming storm drpc continious calculatinos stream processing псевдодифференциальные и г плоскопараллельные структ метод дискретных особенно математическое моделирова дифракция компьютерный инструментар deep learning autoencoder anomaly detection анализ данных machine learning mode attributes lsh locality sensitive hashing simhash pirogi seledka ukraine kolbasa ded moroz bliny shashlik vareniki lua nginx fileserver bind9 dns nameservers puppet debian frequency estimation count-min sketch graphql graphql federation gakhov django graphene central tendency spark sparksql elk aggregation hypermedia microservice apache kafka fraud detection word2vec kappa architecture lstm rnn gru recurrent neural network quotient filter approximate membership query cardinality hyperloglog++ misra-gries algorithm frequent algorithm majority heavy hitters b-bite mihash jaccard similarity cosine similarity