"thanks. do you have a Cloud equivalent? "
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ajit jaokar commented on Kai Waehner's blog post Scalable IoT ML Platform with Apache Kafka + Deep Learning + MQTTajit jaokar liked Kai Waehner's blog post Scalable IoT ML Platform with Apache Kafka + Deep Learning + MQTT
Enrico conte liked Kai Waehner's blog post Scalable IoT ML Platform with Apache Kafka + Deep Learning + MQTT
Kai Waehner posted a blog postScalable IoT ML Platform with Apache Kafka + Deep Learning + MQTT
I built a scenario for a hybrid machine learning infrastructure leveraging Apache Kafka as scalable central nervous system. The public cloud is used for training analytic models at extreme scale (e.g. using TensorFlow and TPUs on Google Cloud Platform (GCP) via Google ML Engine. The predictions (i.e.…See More
Kai Waehner's blog post was featuredScalable IoT ML Platform with Apache Kafka + Deep Learning + MQTT
I built a scenario for a hybrid machine learning infrastructure leveraging Apache Kafka as scalable central nervous system. The public cloud is used for training analytic models at extreme scale (e.g. using TensorFlow and TPUs on Google Cloud Platform (GCP) via Google ML Engine. The predictions (i.e.…See More
Enrico conte liked Kai Waehner's blog post Model Serving: Stream Processing vs. RPC / REST - A Deep Learning Example with TensorFlow and KafkaKai Waehner posted a blog postModel Serving: Stream Processing vs. RPC / REST - A Deep Learning Example with TensorFlow and Kafka
Machine Learning / Deep Learning models can be used in different ways to do predictions. My preferred way is to deploy an analytic model directly into a stream processing application (like Kafka Streams or KSQL). You could e.g. use the …See More
Kai Waehner's blog post was featuredModel Serving: Stream Processing vs. RPC / REST - A Deep Learning Example with TensorFlow and Kafka
Machine Learning / Deep Learning models can be used in different ways to do predictions. My preferred way is to deploy an analytic model directly into a stream processing application (like Kafka Streams or KSQL). You could e.g. use the …See More
Kai Waehner posted a blog postDeep Learning Infrastructure for 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 Kafka and Machine Learning to build a Machine Learning infrastructure for extreme scale.Long version of the title:"Deep Learning at Extreme Scale (in the Cloud)
with the Apache Kafka Open Source Ecosystem - How to Build a Machine Learning Infrastructure with Kafka, Connect, Streams, KSQL, etc."As always, I want to share the slide deck. The talk was also recorded. I will share the video as…See More
Kai Waehner's blog post was featuredDeep Learning Infrastructure for 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 Kafka and Machine Learning to build a Machine Learning infrastructure for extreme scale.Long version of the title:"Deep Learning at Extreme Scale (in the Cloud)
with the Apache Kafka Open Source Ecosystem - How to Build a Machine Learning Infrastructure with Kafka, Connect, Streams, KSQL, etc."As always, I want to share the slide deck. The talk was also recorded. I will share the video as…See More
Profile Information
- Short Bio
- Kai Wähner works as Technology Evangelist at TIBCO. Kai’s main area of expertise lies within the fields of Big Data, Advanced Analytics, Machine Learning, Integration, SOA, Microservices, BPM, Cloud, Java EE and Enterprise Architecture Management. He is regular speaker at international IT conferences such as JavaOne, ApacheCon or OOP, writes articles for professional journals, and shares his experiences with new technologies on his blog (www.kai-waehner.de/blog).
Contact: [email protected] or Twitter: @KaiWaehner. Find more details and references (presentations, articles, blog posts) on his website: www.kai-waehner.de
- My Web Site Or LinkedIn Profile
- http://www.kai-waehner.de
- Professional Status
- Technical
- Your Job Title:
- Technology Evangelist
- Interests:
- Networking
Kai Waehner's Blog
Scalable IoT ML Platform with Apache Kafka + Deep Learning + MQTT
Posted on August 1, 2018 at 11:00pm 1 Comment 2 Likes
I built a scenario for a hybrid machine learning infrastructure leveraging Apache Kafka as scalable central nervous system. The public cloud is used for training analytic models at extreme scale (e.g. using TensorFlow and TPUs on Google Cloud Platform (GCP) via Google ML Engine. The predictions (i.e.…
Continue Model Serving: Stream Processing vs. RPC / REST - A Deep Learning Example with TensorFlow and Kafka
Posted on July 8, 2018 at 4:26pm 0 Comments 1 Like
Machine Learning / Deep Learning models can be used in different ways to do predictions. My preferred way is to deploy an analytic model directly into a stream processing application (like Kafka Streams or KSQL). You could e.g. use the …
Continue Deep Learning Infrastructure for Extreme Scale with the Apache Kafka Open Source Ecosystem
Posted on May 8, 2018 at 9:30pm 0 Comments 1 Like
I had a new talk presented at "Codemotion Amsterdam 2018" this week. I discussed the relation of Apache Kafka and Machine Learning to build a Machine Learning infrastructure for extreme scale.
Long version of the title:
"Deep Learning at Extreme Scale (in the Cloud) with the Apache Kafka Open Source Ecosystem - How to Build a Machine Learning Infrastructure with Kafka, Connect, Streams, KSQL, etc."
As always, I want to share the slide deck. The talk was…
Continue Open Source Deep Learning Frameworks and Visual Analytics
Posted on April 23, 2017 at 9:00am 1 Comment 7 Likes
Deep Learning gets more and more traction. It basically focuses on one section of Machine Learning: Artificial Neural Networks. This article explains why Deep Learning is a game changer in analytics, when to use it, and how Visual Analytics allows business analysts to leverage the analytic models built by a (citizen) data scientist.
What is Deep Learning and Artificial Neural Networks?
Deep Learning is the modern buzzword for artificial neural networks, one of many concepts…
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