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