Personal Information
Entreprise/Lieu de travail
Berlin Area, Germany Germany
Profession
Ph.D., Senior Software Engineer at Ferret-Go
Secteur d’activité
Technology / Software / Internet
Site Web
www.gakhov.com
À propos
Born in Ukraine, studied applied mathematics, defended my Ph.D. in Mathematical Modeling. I have years of IT experience and years of teaching experience at the university. My primary field of interest as a developer is a web programming, with a focus on back-end services and data analysis.
Currently, I'm interested in the applications of machine learning and statistical modeling.
My research interests are mathematical modeling of physical phenomena, numerical methods for solving integral, differential and pseudo-differential equations, software design and computer experiments.
Mots-clés
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
Tout plus
Présentations
(32)Documents
(1)J’aime
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Recurrent Neural Networks for Text Analysis
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Дмитрий Ветров. Математика больших данных: тензоры, нейросети, байесовский вывод
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Machine Learning and Data Mining: 11 Decision Trees
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Apache Storm 0.9 basic training - Verisign
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Apache Kafka 0.8 basic training - Verisign
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Scaling Apache Storm - Strata + Hadoop World 2014
P. Taylor Goetz
•
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Apache storm vs. Spark Streaming
P. Taylor Goetz
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Anomaly Detection with Apache Spark
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Afghanistan: Dogs of War
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Lambda architecture for real time big data
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How to stream a meetup or live event
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Twig tips and tricks
Javier Eguiluz
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Machine learning
Ricardo Wendell Rodrigues da Silveira
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Lean Analytics for Nikkei BP
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Comet web applications with Python, Django & Orbited
skam
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Web performance optimization (WPO)
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Scaling massive elastic search clusters - Rafał Kuć - Sematext
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•
il y a 11 ans
Personal Information
Entreprise/Lieu de travail
Berlin Area, Germany Germany
Profession
Ph.D., Senior Software Engineer at Ferret-Go
Secteur d’activité
Technology / Software / Internet
Site Web
www.gakhov.com
À propos
Born in Ukraine, studied applied mathematics, defended my Ph.D. in Mathematical Modeling. I have years of IT experience and years of teaching experience at the university. My primary field of interest as a developer is a web programming, with a focus on back-end services and data analysis.
Currently, I'm interested in the applications of machine learning and statistical modeling.
My research interests are mathematical modeling of physical phenomena, numerical methods for solving integral, differential and pseudo-differential equations, software design and computer experiments.
Mots-clés
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
Tout plus