We build a Raspberry Pi Hadoop cluster, and use Apache Spark on YARN to do some analysis of the quality and word choice of this web site.

Example application for analyzing Twitter data using CDH - Flume, Oozie, Hive - cloudera/cdh-twitter-example

In this tutorial we will learn Flume Installation and Streaming Twitter Data Using Flume

May 2015

Self driving RC car:
OpenCV neural network - Steering
Haar-cascade classifiers - Stop sign and traffic light detection
Ultrasonic sensor - Front collision avoidance
Raspberry Pi - Data streaming (video and sensor)
Arduino - RC car control

BGM:…

Brian Clozel shows how Spring Boot can help build web applications, tests to production-ready features, that leverage the Spring ecosystem.

Event Sourcing with Spring Boot and Axon NovaTec Blog

We’ve observed agents discovering progressively more complex tool use while playing a simple game of hide-and-seek. Through training in our new simulated hide-and-seek environment, agents build a series of six distinct strategies and counterstrategies, some…

In this article I won’t go into akka-cluster details and why it’s great. You can find a lot of excellent articles about it. Of course a…

Charts: https://developer.ibm.com/event/ibm-code-tech-talk-deploy-akka-cluster-kubernetes/ For upcoming tech talks and other events, see the IBM Code Events ...

This talk will take an two existing Spark ML pipeline (Frank The Unicorn, for predicting PR comments (Scala) - https://github.com/franktheunicorn/predict-pr-...

Let’s use Scala and its famous library AkkaHttp to build microservice for Create-Read-Update-Delete type of operations. We will briefly…

LSTM's and GRU's are widely used in state of the art deep learning models. For those just getting into machine learning and deep learning, this is a guide in plain English with helpful visuals to help you grok LSTM's and GRU's.

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ZIO STM: CountDownLatch in (effectively) two lines

Open Neural Network Exchange (ONNX) is an open format built to represent machine learning models. It defines the building blocks of machine learning and deep learning models along with a common file format to enable AI developers to use models with a variety…

Welcome to the next tutorial covering deep learning with Python, Tensorflow, and Keras. We've been working on a cryptocurrency price movement prediction recurrent neural network, focusing mainly on the pre-processing that we've got to do. In this tutorial…