Thanh Tran
18
Abonné
Personal Information
Entreprise/Lieu de travail
San Francisco Bay Area United States
Profession
Director of Data Science at Upwork
Secteur d’activité
Technology / Software / Internet
À propos
Focused and driven leader with strong record as
- technical team lead (hired, built and led teams that successfully shipped Machine-Learning based mobile, web and chat-bot applications),
- innovator (released award-winning solutions, including SearchWebDB, the first semantic search solution capable of answering natural language queries over billions of records @ 2008 Billion Triple Challenge and The Information Workbench, the technology foundation of fluidOps’s Smart Data Platform)
- professor (led a world-wide top research group in semantic search, most cited article 5-years period, among top 5 / 50 in Semantic Search / Web Search categories of the 2016 Google Scholar global index)
Mots-clés
semantic search
relational keyword search
keyword search
information retrieval
data integration
faceted search
semantic web search
search database
graphinder
graphsearch
entity search
expert search
semi-structured data management
structured data search
big data search
rdf data search
semantic technologies
entity resolution
web data search
ontology-based application
ontology management
ontologies
structure index
rdf data management
rdf query processing
environmental data management
relevance model
ranking
linked data
Tout plus
- Présentations
- Documents
- Infographies
Introduction to Big Data/Machine Learning
Lars Marius Garshol
•
il y a 11 ans
How to Interview a Data Scientist
Daniel Tunkelang
•
il y a 11 ans
Deep Learning - The Past, Present and Future of Artificial Intelligence
Lukas Masuch
•
il y a 8 ans
Kdd 2014 Tutorial - the recommender problem revisited
Xavier Amatriain
•
il y a 9 ans
Lambda Architecture with Spark Streaming, Kafka, Cassandra, Akka, Scala
Helena Edelson
•
il y a 8 ans
Deep Learning for Personalized Search and Recommender Systems
Benjamin Le
•
il y a 6 ans
Deep Learning for Recommender Systems RecSys2017 Tutorial
Alexandros Karatzoglou
•
il y a 6 ans
Big Data Architecture
Guido Schmutz
•
il y a 8 ans
Deploying deep learning models with Docker and Kubernetes
PetteriTeikariPhD
•
il y a 7 ans
AWS Storage and Database Architecture Best Practices (DAT203) | AWS re:Invent 2013
Amazon Web Services
•
il y a 10 ans
Learning to Rank in Solr: Presented by Michael Nilsson & Diego Ceccarelli, Bloomberg LP
Lucidworks
•
il y a 8 ans
(BDT303) Construct Your ETL Pipeline with AWS Data Pipeline, Amazon EMR, and Amazon Redshift | AWS re:Invent 2014
Amazon Web Services
•
il y a 9 ans
Kinesis and Spark Streaming - Advanced AWS Meetup - August 2014
Chris Fregly
•
il y a 9 ans
An Introduction to NOSQL, Graph Databases and Neo4j
Debanjan Mahata
•
il y a 12 ans
Keeping It Professional: Relevance, Recommendations, and Reputation at LinkedIn
Daniel Tunkelang
•
il y a 12 ans
Implementing a Data Lake with Enterprise Grade Data Governance
Hortonworks
•
il y a 9 ans
Recsys 2016 tutorial: Lessons learned from building real-life recommender systems
Xavier Amatriain
•
il y a 7 ans
Machine Learning on Big Data
Max Lin
•
il y a 13 ans
Kinesis vs-kafka-and-kafka-deep-dive
Yifeng Jiang
•
il y a 8 ans
Airflow - a data flow engine
Walter Liu
•
il y a 8 ans