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.