Personal Information
Organização/Local de trabalho
Washington D.C. Metro Area, MD United States
Cargo
Applied Quantitative Researcher
Setor
Government / Military
Sobre
Kwan-Yuet (Stephen) Ho, Ph.D. is an applied quantitative researcher with 8-year experience in machine learning, text mining, and other related data science and quantitative fields. He possesses exceptional mathematical abilities, and experience with software development. He is seeking to advance his careers in machine learning, data science and quantitative analytics.
Marcadores
physics
machine learning
technology
helimagnets
theoretical physics
gartner hype cycle
investment
finance
market
quantum information
quantum computing
python
quantum physics
tensor network
artificial intelligence
story-telling
production
gradient descent
prototype
science
monitoring
software testing
software development
data science
#dataanalysis
#dataengineering
#it
#machinelearning
#bigdata
#datascience
balaam
sunday school
numbers
priest
moses
bible
pentateuch
traffic flow
text analytics
data mining
statistical physics
optimization
a phase
nematics
skyrmion
liquid crystal
choletorics
columnar phase
non-fermi liquid
chiral magnets
goldstone modes
condensed matter
helimagnons
nfl
Ver mais
Apresentações
(7)Gostaram
(15)Python tools to deploy your machine learning models faster
Jeff Hale
•
Há 2 anos
Detecting Lateral Movement with a Compute-Intense Graph Kernel
Data Works MD
•
Há 5 anos
Natural Language Processing with Graph Databases and Neo4j
William Lyon
•
Há 8 anos
Machine Learning Powered by Graphs - Alessandro Negro
GraphAware
•
Há 6 anos
Graph-Powered Machine Learning
GraphAware
•
Há 6 anos
Nova Data Science Meetup 9-20-2017 Introduction
NOVA DATASCIENCE
•
Há 6 anos
Nova Data Science Meetup 9-20-2017 Presentation How AI Powers the Comcast X1 Voice Interface
NOVA DATASCIENCE
•
Há 6 anos
TENSOR DECOMPOSITION WITH PYTHON
André Panisson
•
Há 7 anos
word2vec, LDA, and introducing a new hybrid algorithm: lda2vec
👋 Christopher Moody
•
Há 8 anos
Using Topological Data Analysis on your BigData
AnalyticsWeek
•
Há 10 anos
Piotr Mirowski - Review Autoencoders (Deep Learning) - CIUUK14
Daniel Lewis
•
Há 9 anos
Apache Spark Overview
Vadim Y. Bichutskiy
•
Há 8 anos
Representation Learning of Vectors of Words and Phrases
Felipe Moraes
•
Há 9 anos
Personal Information
Organização/Local de trabalho
Washington D.C. Metro Area, MD United States
Cargo
Applied Quantitative Researcher
Setor
Government / Military
Sobre
Kwan-Yuet (Stephen) Ho, Ph.D. is an applied quantitative researcher with 8-year experience in machine learning, text mining, and other related data science and quantitative fields. He possesses exceptional mathematical abilities, and experience with software development. He is seeking to advance his careers in machine learning, data science and quantitative analytics.
Marcadores
physics
machine learning
technology
helimagnets
theoretical physics
gartner hype cycle
investment
finance
market
quantum information
quantum computing
python
quantum physics
tensor network
artificial intelligence
story-telling
production
gradient descent
prototype
science
monitoring
software testing
software development
data science
#dataanalysis
#dataengineering
#it
#machinelearning
#bigdata
#datascience
balaam
sunday school
numbers
priest
moses
bible
pentateuch
traffic flow
text analytics
data mining
statistical physics
optimization
a phase
nematics
skyrmion
liquid crystal
choletorics
columnar phase
non-fermi liquid
chiral magnets
goldstone modes
condensed matter
helimagnons
nfl
Ver mais