Personal Information
Organização/Local de trabalho
Oklahoma City, Oklahoma Area United States
Cargo
Data Scientist
Setor
Technology / Software / Internet
Site
www.exaptive.com
Sobre
Frank is a data scientist for a data analysis applications company. He primarily works with machine learning and feature engineering using big data systems, specializing in unstructured and semi-structured data. He has a BS in Quantitative Social Science from St. Gregory’s University and a Master’s Specialization in Data Science from Johns Hopkins University. He is a co-founder and organizer of the Oklahoma City Big Data User Group.
Marcadores
machine learning
data science
latent dirichilet allocation
r
python
spark
techlahoma
thunderplains
osemn
text modeling
nlp
text clustering
topic modeling
classification
regression
data
Ver mais
Apresentações
(7)Gostaram
(22)Titan: The Rise of Big Graph Data
Marko Rodriguez
•
Há 11 anos
Introduction to Chainer: A Flexible Framework for Deep Learning
Seiya Tokui
•
Há 8 anos
word2vec, LDA, and introducing a new hybrid algorithm: lda2vec
👋 Christopher Moody
•
Há 8 anos
Topic Models
Claudia Wagner
•
Há 13 anos
Topic Models - LDA and Correlated Topic Models
Claudia Wagner
•
Há 13 anos
Piotr Mirowski - Review Autoencoders (Deep Learning) - CIUUK14
Daniel Lewis
•
Há 9 anos
Winning data science competitions
Owen Zhang
•
Há 9 anos
Tips for data science competitions
Owen Zhang
•
Há 8 anos
Word2Vec: Learning of word representations in a vector space - Di Mitri & Hermans
Daniele Di Mitri
•
Há 9 anos
Word2vec algorithm
Andrew Koo
•
Há 9 anos
Topic Modeling
Karol Grzegorczyk
•
Há 9 anos
Open Data Portals: 9 Solutions and How they Compare
Safe Software
•
Há 8 anos
Productionizing Deep Learning From the Ground Up
odsc
•
Há 8 anos
Introduction to Shiny for building web apps in R
Paul Richards
•
Há 9 anos
SparkR - Scalable machine learning - Utah R Users Group - U of U - June 17th
Alton Alexander
•
Há 9 anos
Introduction to SparkR
Kien Dang
•
Há 9 anos
SparkR: Enabling Interactive Data Science at Scale
jeykottalam
•
Há 9 anos
Netflix - Enabling a Culture of Analytics
Blake Irvine
•
Há 8 anos
(Berkeley CS186 guest lecture) Big Data Analytics Systems: What Goes Around Comes Around
Reynold Xin
•
Há 8 anos
The Digital Machine - Transforming Systems to Software
Tim Sheiner
•
Há 9 anos
Data Visualization 101: How to Design Charts and Graphs
Visage
•
Há 9 anos
Tutorial of Sentiment Analysis
Fabio Benedetti
•
Há 10 anos
Personal Information
Organização/Local de trabalho
Oklahoma City, Oklahoma Area United States
Cargo
Data Scientist
Setor
Technology / Software / Internet
Site
www.exaptive.com
Sobre
Frank is a data scientist for a data analysis applications company. He primarily works with machine learning and feature engineering using big data systems, specializing in unstructured and semi-structured data. He has a BS in Quantitative Social Science from St. Gregory’s University and a Master’s Specialization in Data Science from Johns Hopkins University. He is a co-founder and organizer of the Oklahoma City Big Data User Group.
Marcadores
machine learning
data science
latent dirichilet allocation
r
python
spark
techlahoma
thunderplains
osemn
text modeling
nlp
text clustering
topic modeling
classification
regression
data
Ver mais