Personal Information
Organization / Workplace
Berlin Area, Germany Germany
Occupation
Ph.D., Senior Software Engineer at Ferret-Go
Industry
Technology / Software / Internet
Website
www.gakhov.com
About
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.
Tags
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
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graphql
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debian
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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
See more
Presentations
(32)
See all
Documents
(1)
Likes
(22)
See all
Probabilistic Programming in Python
Peadar Coyle
•
7 years ago
Python for Image Understanding: Deep Learning with Convolutional Neural Nets
Roelof Pieters
•
7 years ago
Kaggle Winning Solution Xgboost algorithm -- Let us learn from its author
Vivian S. Zhang
•
7 years ago
Recurrent Neural Networks for Text Analysis
odsc
•
8 years ago
Дмитрий Ветров. Математика больших данных: тензоры, нейросети, байесовский вывод
Yandex
•
7 years ago
Machine Learning and Data Mining: 11 Decision Trees
Pier Luca Lanzi
•
16 years ago
Matrix methods for Hadoop
David Gleich
•
10 years ago
Rationally boost your symfony2 application with caching tips and monitoring
Giulio De Donato
•
10 years ago
Apache Storm 0.9 basic training - Verisign
Michael Noll
•
8 years ago
Apache Kafka 0.8 basic training - Verisign
Michael Noll
•
8 years ago
Scaling Apache Storm - Strata + Hadoop World 2014
P. Taylor Goetz
•
8 years ago
Apache storm vs. Spark Streaming
P. Taylor Goetz
•
8 years ago
Anomaly Detection with Apache Spark
Cloudera, Inc.
•
8 years ago
Afghanistan: Dogs of War
maditabalnco
•
9 years ago
Lambda architecture for real time big data
Trieu Nguyen
•
9 years ago
How to stream a meetup or live event
Jason Tucker
•
10 years ago
Twig tips and tricks
Javier Eguiluz
•
10 years ago
Machine learning
Ricardo Wendell Rodrigues da Silveira
•
9 years ago
Lean Analytics for Nikkei BP
Lean Analytics
•
10 years ago
Comet web applications with Python, Django & Orbited
skam
•
13 years ago
Web performance optimization (WPO)
Mariusz Kaczmarek
•
12 years ago
Scaling massive elastic search clusters - Rafał Kuć - Sematext
Rafał Kuć
•
10 years ago
Presentations
(32)
See all
Documents
(1)
Likes
(22)
See all
Probabilistic Programming in Python
Peadar Coyle
•
7 years ago
Python for Image Understanding: Deep Learning with Convolutional Neural Nets
Roelof Pieters
•
7 years ago
Kaggle Winning Solution Xgboost algorithm -- Let us learn from its author
Vivian S. Zhang
•
7 years ago
Recurrent Neural Networks for Text Analysis
odsc
•
8 years ago
Дмитрий Ветров. Математика больших данных: тензоры, нейросети, байесовский вывод
Yandex
•
7 years ago
Machine Learning and Data Mining: 11 Decision Trees
Pier Luca Lanzi
•
16 years ago
Matrix methods for Hadoop
David Gleich
•
10 years ago
Rationally boost your symfony2 application with caching tips and monitoring
Giulio De Donato
•
10 years ago
Apache Storm 0.9 basic training - Verisign
Michael Noll
•
8 years ago
Apache Kafka 0.8 basic training - Verisign
Michael Noll
•
8 years ago
Scaling Apache Storm - Strata + Hadoop World 2014
P. Taylor Goetz
•
8 years ago
Apache storm vs. Spark Streaming
P. Taylor Goetz
•
8 years ago
Anomaly Detection with Apache Spark
Cloudera, Inc.
•
8 years ago
Afghanistan: Dogs of War
maditabalnco
•
9 years ago
Lambda architecture for real time big data
Trieu Nguyen
•
9 years ago
How to stream a meetup or live event
Jason Tucker
•
10 years ago
Twig tips and tricks
Javier Eguiluz
•
10 years ago
Machine learning
Ricardo Wendell Rodrigues da Silveira
•
9 years ago
Lean Analytics for Nikkei BP
Lean Analytics
•
10 years ago
Comet web applications with Python, Django & Orbited
skam
•
13 years ago
Web performance optimization (WPO)
Mariusz Kaczmarek
•
12 years ago
Scaling massive elastic search clusters - Rafał Kuć - Sematext
Rafał Kuć
•
10 years ago
Personal Information
Organization / Workplace
Berlin Area, Germany Germany
Occupation
Ph.D., Senior Software Engineer at Ferret-Go
Industry
Technology / Software / Internet
Website
www.gakhov.com
About
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.
Tags
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
See more