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Machine Learning

2019-09-10

17:00 Kai Waehner: Unleashing Apache Kafka and TensorFlow in Hybrid Cloud Architectures

2019-09-12

09:00 Denis Magda: Continuous Machine and Deep Learning at Scale with Apache Ignite

09:00 Tianqi Chen: TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

10:00 Boris Galitsky, Jay Taylor: How to Raise an Erudite Chatbot

10:00 Luciano Resende: Apache Toree: A Jupyter Kernel for Scala / Apache Spark

13:00 Qing Lan: Using Apache MXNet to Train and Deploy your Deep Learning model

14:00 Sunil Govind: Hadoop Submarine Ecosystem: Bringing Machine Learning and Big Data world (YARN and Kubernetes) together

15:30 Serge Huber: Adding AI to customer segmentation using Apache Unomi and Apache PredictionIO

15:30 Daniel Takabayashi: Everything about Apache Marvin Platform

16:30 Takuya Kitazawa, Makoto Yui: What's New and Coming to Apache Hivemall: Building More Flexible Machine Learning Solution for Apache Hive and Spark

16:30 Junfeng Liu: Robust Elastic Scaling of Deep Learning on Kubernates

17:30 Thomas Delteil: Recent advances in Natural Language Processing and Deep Learning

17:30 Jay Vyas: Building an open source analytics distribution on Kubernetes that meets the needs of a modern data scientist.

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