snowch/ds_maths_notes

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snowch/ds_maths_notes

snowch

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hsm-guide

HSM documentation

movie-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).

Jupyter Notebook

ibm-analytics-engine-python

Python library for IBM Analytics Engine - https://console.bluemix.net/docs/services/AnalyticsEngine/index.html

biginsight-examples

Example projects to help you quickly get started with BigInsights

Jupyter Notebook

carbon-products-development-environment

Vagrant virtual machine that automates setting up a development environment for WSO2 Carbon Products

bluemix-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 Engine

learn-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-android

z_sync-android-p2p-example.deprecated

nb_utils

watson-studio-deep-learning-demo

Steps to demonstrate deep learning in Watson Studio

Jupyter Notebook

bluemix_retail_demo

Jupyter Notebook

kubedirector-nifi-appconfig

kubedirector-nifi

dashdb-etl-bluemix-template

Basic dashDB application that can run SQL on a cron job

vagrant-stratos-runtime

Vagrant box for running Apache Stratos

data-fabric-edge-core-cloud

ml-101

A hands-on tutorial for machine learning.

Jupyter Notebook

demo_2710

SparkMessageHubScala