Personal Information
Organização/Local de trabalho
Berlin Area, Germany Germany
Cargo
Ph.D., Senior Software Engineer at Ferret-Go
Setor
Technology / Software / Internet
Site
www.gakhov.com
Sobre
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.
Marcadores
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
Ver mais
Apresentações
(32)Documentos
(1)Gostaram
(22)Probabilistic Programming in Python
Peadar Coyle
•
Há 8 anos
Python for Image Understanding: Deep Learning with Convolutional Neural Nets
Roelof Pieters
•
Há 8 anos
Kaggle Winning Solution Xgboost algorithm -- Let us learn from its author
Vivian S. Zhang
•
Há 8 anos
Recurrent Neural Networks for Text Analysis
odsc
•
Há 8 anos
Machine Learning and Data Mining: 11 Decision Trees
Pier Luca Lanzi
•
Há 17 anos
Matrix methods for Hadoop
David Gleich
•
Há 11 anos
Rationally boost your symfony2 application with caching tips and monitoring
Giulio De Donato
•
Há 11 anos
Apache Storm 0.9 basic training - Verisign
Michael Noll
•
Há 9 anos
Apache Kafka 0.8 basic training - Verisign
Michael Noll
•
Há 9 anos
Scaling Apache Storm - Strata + Hadoop World 2014
P. Taylor Goetz
•
Há 9 anos
Apache storm vs. Spark Streaming
P. Taylor Goetz
•
Há 9 anos
Anomaly Detection with Apache Spark
Cloudera, Inc.
•
Há 9 anos
Afghanistan: Dogs of War
maditabalnco
•
Há 9 anos
Lambda architecture for real time big data
Trieu Nguyen
•
Há 10 anos
How to stream a meetup or live event
Jason Tucker
•
Há 11 anos
Twig tips and tricks
Javier Eguiluz
•
Há 11 anos
Machine learning
Ricardo Wendell Rodrigues da Silveira
•
Há 10 anos
Lean Analytics for Nikkei BP
Lean Analytics
•
Há 11 anos
Comet web applications with Python, Django & Orbited
skam
•
Há 13 anos
Web performance optimization (WPO)
Mariusz Kaczmarek
•
Há 13 anos
Scaling massive elastic search clusters - Rafał Kuć - Sematext
Rafał Kuć
•
Há 11 anos
Personal Information
Organização/Local de trabalho
Berlin Area, Germany Germany
Cargo
Ph.D., Senior Software Engineer at Ferret-Go
Setor
Technology / Software / Internet
Site
www.gakhov.com
Sobre
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.
Marcadores
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
Ver mais