Berlin Buzzwords 2019: Nick Pentreath – Open standards for machine learning deployment #bbuzz
Berlin Buzzwords 2019: Sophie Watson – Dealing with pain points of recommenders in the real world
Lightning Talk: Nick Pentreath - Native Dense Vector Scoring in Elasticsearch
Productionizing ML Pipelines with PFA by Nick Pentreath
Berlin Buzzwords 2019: Lester Solbakken – Scaling ONNX and TensorFlow model evaluation in search
Berlin Buzzwords 2018: Joshua Bacher & Christine Bellstedt – Search suggestions as killer feature
Lessons Learned Building an Open Deep Learning Model Exchange with Nick Pentreath (IBM)
Berlin Buzzwords 2018: Giovanni Fernandez-Kincade – Getting Started with Query Understanding #bbuzz
Berlin Buzzwords 2018: Holden Karau – Working with Tensorflow from the JVM #bbuzz
Berlin Buzzwords 2018: Houston Putman – Relevant Data Analysis: Apache Solr Analytics #bbuzz
Berlin Buzzwords 2015: Heloise Nonne - Online learning, Vowpal Wabbit and Hadoop #bbuzz
Labs 6-9: Detection, Data Labeling, Testing, and Deployment - Full Stack Deep Learning - March 2019
Using Text Embedding Algorithms in Recomm. Systems
Recommendations in the real world by Sophie Watson
#FOSSBack 18: Holden Karau – Dealing with Contributor Overload
Michal Mucha: Build and Deploy an End-to-end Streaming NLP Insight System | PyData London 2019
Testing and Deployment of Deep Learning Models with Josh Tobin (2019)
Continuous deployment of Machine Learning pipelines - Luca Palmieri & Christos Dimitroulas
DSS online #4 : End-to-End Deep Learning Deployment with ONNX
Building an Incrementally Trained, Local Taste Aware, Global Deep Learned Recommender System Model
