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hsm-guide
HSM documentationmovie-recommender-demo
This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).biginsight-examples
Example projects to help you quickly get started with BigInsightscarbon-products-development-environment
Vagrant virtual machine that automates setting up a development environment for WSO2 Carbon Productsbluemix-spark-examples
This repository contains example projects to help you quickly get started with Spark as a Service, spark-submit.sh.docker-vim-eclim
IBM_Analytics_Engine_Examples
Examples for IBM Analytics Enginelearn-apache-spark-internals
vagrant-hbase
This environment sets up a completely self contained HBase development environment with eclipse and Ubuntu XFCE Desktop.sync-android-p2p
http listener to support p2p on sync-androidz_sync-android-p2p-example.deprecated
nb_utils
watson-studio-deep-learning-demo
Steps to demonstrate deep learning in Watson Studiobluemix_retail_demo
kubedirector-nifi-appconfig
kubedirector-nifi
dashdb-etl-bluemix-template
Basic dashDB application that can run SQL on a cron jobvagrant-stratos-runtime
Vagrant box for running Apache Stratosdata-fabric-edge-core-cloud
ml-101
A hands-on tutorial for machine learning.demo_2710
SparkMessageHubScala
ds_maths_notes
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