Personal Information
Entreprise/Lieu de travail
Washington D.C. Metro Area United States
Profession
Data Scientist. Defender of the Republic.
Site Web
http://www.davidarsenault.com
À propos
Specialties: Intelligence and operations, counterterrorism and counter-IED, data mining, network analysis, all source analysis and systems engineering for intelligence. Web technologies. Very large database, distributed processing, Hadoop.
- Présentations
- Documents
- Infographies
Pitch Deck Template for startups
Malcolm Lewis
•
il y a 9 ans
DataFrames: The Extended Cut
odsc
•
il y a 8 ans
GPU Computing for Data Science
Domino Data Lab
•
il y a 8 ans
PayPal's Fraud Detection with Deep Learning in H2O World 2014
Sri Ambati
•
il y a 9 ans
word2vec, LDA, and introducing a new hybrid algorithm: lda2vec
👋 Christopher Moody
•
il y a 8 ans
Jeroen Janssens - Predicting at the Command Line
PAPIs.io
•
il y a 9 ans
Anomaly Detection with Apache Spark
Cloudera, Inc.
•
il y a 9 ans
Anomaly Detection - New York Machine Learning
Ted Dunning
•
il y a 9 ans
Doing-the-impossible
Ted Dunning
•
il y a 9 ans
Real-time Puppies and Ponies - Evolving Indicator Recommendations in Real-time
Ted Dunning
•
il y a 9 ans
Which Algorithms Really Matter
Ted Dunning
•
il y a 10 ans
Strata 2014 Anomaly Detection
Ted Dunning
•
il y a 10 ans
How to Perfect Your Pitch
Guy Kawasaki
•
il y a 8 ans
Deep Learning for Natural Language Processing
Devashish Shanker
•
il y a 8 ans
"Cross domain” deterrence, escalation geometries and the morphing of strategy
Lawrence Livermore National Laboratory
•
il y a 9 ans
Big Data Platforms: An Overview
C. Scyphers
•
il y a 12 ans
Cheap learning-dunning-9-18-2015
Ted Dunning
•
il y a 8 ans
A look inside pandas design and development
Wes McKinney
•
il y a 12 ans
Scalable Architectures - Taming the Twitter Firehose
Lorenzo Alberton
•
il y a 11 ans
Semantic Technology Solutions For Recovery Gov And Data Gov With Transparency Openness And Collaboration
Mills Davis
•
il y a 14 ans