Início Apresentações Deploying Machine Learning Models in Practice
Deploying Machine Learning Models in Practice
44:27
Resumo
The talk will cover various options for the most popular and widely used ML libraries, including MLeap, TF Serving and open standards such as PMML, PFA and the recently announced ONNX for Deep Learning. I will also introduce Aardpfark, initially covering Spark ML pipelines - as well as experimental work for exporting Spark ML pipelines to TensorFlow graphs for use with TF Serving.
Minibiografia
Nick is a Principal Engineer at IBM, in the Cognitive Open Technology group. He’s a committer and PMC member of the Apache Spark project and author of Machine Learning with Spark. Previously, he co-founded Graphflow, a startup focused on recommendations and customer intelligence. He has worked at Goldman Sachs, and led the Data Science team at Mxit, Africa’s largest social network.
Sobre o Evento
Entre 09 e 11 de maio, São Paulo recebeu a décima primeira edição brasileira do QCon. Organizado pelo InfoQ Brasil e com palestras selecionadas por um comitê independente, esta edição contou com 3 keynotes, 86 palestras e 92 palestrantes.
23 jan 2019