Personal Information
Organization / Workplace
Washington D.C. Metro Area United States
Occupation
Data Scientist. Defender of the Republic.
Website
http://www.davidarsenault.com
About
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.
- Presentations
- Documents
- Infographics
Pitch Deck Template for startups
Malcolm Lewis
•
9 years ago
DataFrames: The Extended Cut
odsc
•
8 years ago
GPU Computing for Data Science
Domino Data Lab
•
8 years ago
PayPal's Fraud Detection with Deep Learning in H2O World 2014
Sri Ambati
•
9 years ago
word2vec, LDA, and introducing a new hybrid algorithm: lda2vec
👋 Christopher Moody
•
8 years ago
Jeroen Janssens - Predicting at the Command Line
PAPIs.io
•
9 years ago
Anomaly Detection with Apache Spark
Cloudera, Inc.
•
9 years ago
Anomaly Detection - New York Machine Learning
Ted Dunning
•
9 years ago
Doing-the-impossible
Ted Dunning
•
9 years ago
Real-time Puppies and Ponies - Evolving Indicator Recommendations in Real-time
Ted Dunning
•
9 years ago
Which Algorithms Really Matter
Ted Dunning
•
10 years ago
Strata 2014 Anomaly Detection
Ted Dunning
•
10 years ago
How to Perfect Your Pitch
Guy Kawasaki
•
8 years ago
Deep Learning for Natural Language Processing
Devashish Shanker
•
8 years ago
"Cross domain” deterrence, escalation geometries and the morphing of strategy
Lawrence Livermore National Laboratory
•
9 years ago
Big Data Platforms: An Overview
C. Scyphers
•
12 years ago
Cheap learning-dunning-9-18-2015
Ted Dunning
•
8 years ago
A look inside pandas design and development
Wes McKinney
•
12 years ago
Scalable Architectures - Taming the Twitter Firehose
Lorenzo Alberton
•
11 years ago
Semantic Technology Solutions For Recovery Gov And Data Gov With Transparency Openness And Collaboration
Mills Davis
•
14 years ago