This repository contains instructions to set up and run the Apache SystemML API in a Spark Shell with the IBM Analytics Engine to complete computations in Scala.
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Updated
Oct 11, 2017
This repository contains instructions to set up and run the Apache SystemML API in a Spark Shell with the IBM Analytics Engine to complete computations in Scala.
This repository contains instructions to first set up Apache SystemML locally and then also start a Jupyter Notebook using Apache Spark and Apache SystemML to run through a few math problems.
The repository contains the client application that serves at a user's system. Through this application, people with multiple disorders (visual impairment, dumbness or both) can receive elementary education and general knowledge. Built using Maven JAVA, Python, IBM Cloud Cognitive Services, Firebase
Streamline and automate the process of consolidating multiple evaluations by different Hiring managers, Technical Leads, Team Leads in the candidate hiring process and generate an analysis of the all the evaluations to make hiring decisions easily and effectively.
Mi primer repositorio en GitHub después de haber creado la cuenta para participar en La <Maratona/> Behind the Code 2020 con IBM. Además, estoy viendo en Youtube Aprende Git y GitHub - Curso desde cero de freeCodeCamp Español
Worked on building a predictive model using IBM SPSS modeler and visualization using IBM Watson Analytics.
An Android ChatBot powered by Watson Services (Conversation, Speech-to-Text and Text-to-Speech) and Mobile Analytics on IBM Bluemix.
This project shows how a common multi-component application can be deployed on the Bluemix container service. Each component runs in a separate container or group of containers.
Live cognitive Twitter sentiment analysis using IBM Watson. https://live-twitter-sentiment.herokuapp.com/
IBM Cloud Functions building block - Scheduled Tasks - This project provides a starting point for cron or batch jobs with IBM Cloud Functions powered by Apache OpenWhisk.
🤖️ IBM 2017 Blue|Hack Project
This repository contains code and instructions for developing secure offline-first apps using IBM Mobile Foundation with encrypted on device storage and automated data synchronization with CouchDB/Cloudant NoSQL DB.
This capstone project will give you a taste of what data scientists go through in real life when working with data.
In this project we demonstrate how to deploy a simple Spring Boot application to Bluemix. Additionally, we demonstrate the basic files needed to deploy a project to Bluemix with a configured toolchain, pipeline, and service integrations.
A hybrid cloud model blends elements of both the private and the public cloud. In the simplest terms, the hybrid model is primarily a private cloud that allows an organization to tap into a public cloud when and where it makes sense. This code shows you how to expose your on-premise applications and services to public cloud, and vice versa.
IBM Cloud Functions building block - Message Hub Trigger - This project provides a starting point for handling events from Message Hub with IBM Cloud Functions powered by Apache OpenWhisk.
Host a graph database such as OrientDB on IBM Container Service using Kubernetes APIs
Create a serverless, event-driven application with Apache OpenWhisk on IBM Cloud Functions that executes code in response to database changes from Apache CouchDB or IBM Cloudant.
In this journey we demonstrate running an analytics application using Spark on z/OS. Apache Spark on z/OS is in-place, optimized abstraction and real-time analysis of structured and unstructured enterprise data
PaaS platforms like Cloud Foundry, container orchestrators like Kubernetes, Serverless platforms like OpenWhisk and Service-mesh like Istio are all great technologies to deploy and manage your microservices on. In this code we look at deployment experience the different platforms provide, and what do we gain and loose by choosing one vs another.
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