Interesting FOSDEM 2019 Talks for people working with Data
Last year I could attend to FOSDEM 2018 edition at Brussels and I was amazed with the number of cool talks that FOSDEM hosts at the same time (it’s pretty crazy! look at the full schedule for 1 day)
Unfortunetly, this year I couldn’t attend to FOSDEM 2019 edition, BUT I filtered all the uploaded talks to only select thoose ones relevant for people with interests on Data Science (like me). By the way, all the recordings are avaliable on the FOSDEM’s ftp web server if you want to check them.
Note: this list is subject to changes
AI - HPC/Data Science dev room
- The state of machine learning operations in 2019: reproducibility, explainability, bias evaluation and beyond
- Apache Beam: from zero to portability
- Condition monitoring and transfer learning
- Deep Learning on Massive Parallel Procesing Databases
- Feature Store: a data management layer in ML pipelines
- Nakadi Streaming Events for 100s of Teams
- RAPIDS: Datascience with GPUs
- Streaming Pipelines for Neural Machine translation
- Validating Big Data Jobs
GEO
- 3Geonomes.org
- Hikar - Augmented reality for hikers
- Latest Development in Boost Geometry
- Hundred* Thousand rides a day
- Improve OSM data quality with deep learning
- OpenStreetMaps for emergency prep: The view from San Francisco
- Linking OpenStreetMap and Wikidata
- OpenTrailView 360
Databases
Graphs
- Differentiated access control to graph data
- Using networks to study 19th century French trade
- Gephi JS: exploring the dystopian future of a Javascript Gephi
- Mgmt Config: a tale of three graphs
- Multiple Graph analyssis with GraphBlas
- Leveraging realtime streaming with Neo4j-Streams
- Graph usage in EFL
- Introduction of OSS Weaviate, the Descentralized Knowldege Graph
ML on Code
- Astor an automated code repair framework
- How to build an automatic refactoring and migration toolkit
- Suggesting Fixes during code review with ML
- Coming: a tool for Mining Change Pattern Instances from Git Commits
- Neural commit message suggester
- Deduplication of large amounts of code
- Code anomalies on kotlin programs
- Mining source code^3
- Smelling Source Code Using Deep Learning
- Understanding Source Code with Deep Learning
Searching
- Apache Lucene and Apache Solr 8
- ElasticSearch Correctnes and perfOrmances Validator
- Learning to Rank
- Lucene upgrade in Jira 8.0
- Super-Speedy scoring in Lucene 8