Personal Information
Entreprise/Lieu de travail
Portland, Oregon Area United States
Profession
Data Architect, Research Scientist, Author
Secteur d’activité
Technology / Software / Internet
Site Web
dansullivanlearning.com
À propos
Principle Engineer and data architect PEAK6 Technologies as well as a former research scientist and systems architect at a major life science research institute. Experience leading design and implementation of innovative applications and research efforts in both commercial and academic environments. Author of Official Google Cloud Certified Professional Engineer, Professional Architect, and Associate Cloud Engineer Study Guides.
Mots-clés
document database
nosql
mongodb
machine learning
data modeling
text mining
json
couchbase
data analysis
big data
data science
data engineer
google cloud
bioinformatics
natural language processing
analytics
patterns
design patterns
relational database
data integration
cassandra
genetics
database
computational biology
automl
feature engineering
cloud computing
certification
cloud
devops
text mining nlp natural language processing ai
python
ai
information technology
biomedical
tf-idf
deep learning
classification
neural networks
riak
bigtable
base
consistency
dynamodb
acid
cap theorem
availability
redis
multimodal
postgresql
arangodb
proteomics
bioscience
data mining
semi-supervised learning
supervised learning
biocuration
skip-gram
cbow
svm
error curve
key-value
column family database
graph database
Tout plus
Présentations
(14)J’aime
(15)Phage therapy
aprnasab
•
il y a 11 ans
Large Scale Deep Learning with TensorFlow
Jen Aman
•
il y a 7 ans
Cassandra advanced data modeling
Romain Hardouin
•
il y a 7 ans
Top 5 mistakes when writing Spark applications
hadooparchbook
•
il y a 8 ans
Inspiration to Application: A Tutorial on Artificial Immune Systems
Julie Greensmith
•
il y a 12 ans
word2vec - From theory to practice
hen_drik
•
il y a 8 ans
ETL with SPARK - First Spark London meetup
Rafal Kwasny
•
il y a 9 ans
Text mining meets neural nets
Dan Sullivan, Ph.D.
•
il y a 8 ans
Deep Learning & NLP: Graphs to the Rescue!
Roelof Pieters
•
il y a 9 ans
Best Practices for Architecting a Pragmatic Web API.
Mario Cardinal
•
il y a 10 ans
Cassandra Summit 2014: Apache Cassandra Best Practices at Ebay
DataStax Academy
•
il y a 9 ans
Real-Time Vote Platform Benchmark
Lahav Savir
•
il y a 8 ans
Uses and Best Practices for Amazon Redshift
Amazon Web Services
•
il y a 10 ans
Best practices for building and deploying predictive models over big data presentation
Kun Le
•
il y a 11 ans
Kafka for DBAs
Gwen (Chen) Shapira
•
il y a 9 ans
Personal Information
Entreprise/Lieu de travail
Portland, Oregon Area United States
Profession
Data Architect, Research Scientist, Author
Secteur d’activité
Technology / Software / Internet
Site Web
dansullivanlearning.com
À propos
Principle Engineer and data architect PEAK6 Technologies as well as a former research scientist and systems architect at a major life science research institute. Experience leading design and implementation of innovative applications and research efforts in both commercial and academic environments. Author of Official Google Cloud Certified Professional Engineer, Professional Architect, and Associate Cloud Engineer Study Guides.
Mots-clés
document database
nosql
mongodb
machine learning
data modeling
text mining
json
couchbase
data analysis
big data
data science
data engineer
google cloud
bioinformatics
natural language processing
analytics
patterns
design patterns
relational database
data integration
cassandra
genetics
database
computational biology
automl
feature engineering
cloud computing
certification
cloud
devops
text mining nlp natural language processing ai
python
ai
information technology
biomedical
tf-idf
deep learning
classification
neural networks
riak
bigtable
base
consistency
dynamodb
acid
cap theorem
availability
redis
multimodal
postgresql
arangodb
proteomics
bioscience
data mining
semi-supervised learning
supervised learning
biocuration
skip-gram
cbow
svm
error curve
key-value
column family database
graph database
Tout plus