Gabriel Moreira
134
Abonné
Personal Information
Entreprise/Lieu de travail
São José dos Campos Area, Brazil, São Paulo Brazil
Profession
Machine Learning Engineer at CI&T
Secteur d’activité
Technology / Software / Internet
Site Web
workingsweng.wordpress.com
À propos
Gabriel Moreira is a passionate Data Scientist and Machine Learning engineer.
Currently, he develops Machine Learning solutions at CI&T, specially related to Recommender Systems and Deep Learning models, supporting products and projects with Data Science methods, techniques, processes and tools.
He is a Doctoral student at Instituto Tecnológico de Aeronáutica - ITA. where he has also got his Masters on Computer Science.
He is also an enthusiastic agilist and speaker in industry and academic conferences, being a software engineer since 2002.
Specialties:
- Machine Learning, Data Mining and Statistics with Python, Scikit-Learn, Spark MLib, R, SPSS, MatLab, Tableau, Weka, Mahout.
- Big Da...
Mots-clés
machine learning
recommender systems
data science
python
deep recommender systems
deep learning
news recommender system
analytics
pandas
scikit-learn
software metrics
continuous integration
devops
tensorflow
tfx
kubeflow
sistemas de recomendacao
feature enginering
data munging
smart canvas
topic modeling
scipy
numpy
hadoop
matplotlib
ipython notebook
neural networks
esri
imagem
métricas de software
manutenção de software
manutenibilidade
pipelines
continuous deployment
mlops
cognitive computing
chameleon
dssm
filtragem colaborativa
inteligência artificial
aprendizado de máquina
kaggle
statistics
data mining
feature selection
collaborative filtering
text vectorization
text feature extraction
pyspark
big data
spark
3d sensors
gesture recognition
libras
kinect
natural user interface
geogame
arcgis runtime
gis day
dashboard
arcgis
health status
dojo
android
agile tests
arcgis 10.1
devsummit
qualidade de software
orientação a objetos
predição de defeitos
análise estática de código
regressão de poisson
static code analysis
agile
code smells
broken-windows theory
continuous inspection
refactoring
software inspection
software quality
extreme programming
software evolution
xp
engenharia de software
qualidade de softare
goal-driven measurement
software measurement
olap
data warehouse
software product quality
Tout plus
- Présentations
- Documents
- Infographies
News Session-Based Recommendations Using Deep Neural Networks
Felipe Ferreira
•
il y a 5 ans
Deep Learning for Personalized Search and Recommender Systems
Benjamin Le
•
il y a 6 ans
Deep Learning in Recommender Systems - RecSys Summer School 2017
Balázs Hidasi
•
il y a 6 ans
Interactive Recommender Systems
Denis Parra Santander
•
il y a 7 ans
Tips for data science competitions
Owen Zhang
•
il y a 8 ans
Interactive Recommender Systems with Netflix and Spotify
Chris Johnson
•
il y a 8 ans
DataStax: Titan 1.0: Scalable real time and analytic graph queries
DataStax Academy
•
il y a 8 ans
Topic Modeling: Pave the Way for Your B2B Content Roadmap
ComBlu, Inc.
•
il y a 8 ans
Large-scale Recommendation Systems on Just a PC
Aapo Kyrölä
•
il y a 10 ans
Large-Scale Machine Learning with Apache Spark
DB Tsai
•
il y a 9 ans
Aws summit arquitetura big data-v1.2
Amazon Web Services LATAM
•
il y a 8 ans
BDD on Java Concordion and Selenium
springbyexample
•
il y a 11 ans
JDD2014: Behaviour driven development, BDD, with cucumber for JAVA - Thomas Sundberg
PROIDEA
•
il y a 9 ans
BDD with JBehave and Selenium
Nikolay Vasilev
•
il y a 12 ans
BDD JBehave
Ismael
•
il y a 13 ans
BDD: Cucumber + Selenium + Java
Cesar Augusto Nogueira
•
il y a 11 ans
Recommender system introduction
Liang Xiang
•
il y a 12 ans
Crab - A Python Framework for Building Recommendation Systems
Marcel Caraciolo
•
il y a 12 ans
Crab: A Python Framework for Building Recommender Systems
Marcel Caraciolo
•
il y a 12 ans