Apache Kafka + KSQL + TensorFlow for Data Scientists via Python + Jupyter Notebook
Kai Waehner
Streaming Processing with Apache Kafka and KSQL for Data Scientists via Python and Jupyter Notebooks to build analytic models with TensorFlow and Keras.
Browsing Tag
h2o
7 posts
MQTT + Apache Kafka => Video Recording from Kafka Summit Available
Processing IoT Data from End to End with MQTT and Apache Kafka => Video recording of my talk at Kafka Summit SF 2018 is online.
Model Serving: Stream Processing vs. RPC / REST with Java, gRPC, Apache Kafka, TensorFlow
Machine Learning / Deep Learning models can be used in different ways to do predictions. Natively in the application or hosted in a remote model server. Then you combine stream processing with RPC / Request-Response paradigm. This blog post shows examples of stream processing vs. RPC model serving using Java, Apache Kafka, Kafka Streams, gRPC and TensorFlow Serving.
Deep Learning at Extreme Scale with the Apache Kafka Open Source Ecosystem
I had a new talk presented at “Codemotion Amsterdam 2018” this week. I discussed the relation of Apache…
Machine Learning Trends of 2018 combined with the Apache Kafka Ecosystem
At OOP 2018 conference in Munich, I presented an updated version of my talk about building scalable, mission-critical…
Apache Kafka + Machine Learning => Confluent Blog Post and Github Project
I am happy that my first official Confluent blog post was published and want to link to it from by blog:
How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka
Deep Learning in Real Time with TensorFlow, H2O.ai and Kafka Streams (Slides from JavaOne 2017)
Apache Kafka + Kafka Streams to Produductionize Neural Networks (Deep Learning). Models built with TensorFlow, DeepLearning4J, H2O. Slides from JavaOne 2017.
