Andrii Gakhov

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