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Use a hybrid cloud architecture to deploy a banking microservice on LinuxOne that accesses a simulated retail bank on an IBM Z Mainframe.
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Create an easy iOS step-tracking app and reward users with "fitcoins" by using full-stack Swift.
Use the Connector API SDK to create a custom connector for new data sources that StoredIQ does not support.
Learn how to directly access IBM object storage from a Lagom application.
Use Watson Studio and scalable machine learning tool R4ML to load a dataset and do uniform sampling for visual data exploration.
Build a sample airline booking application that uses a microservices architecture, based on Node.js. Then, deploy it on IBM Cloud Private.
Use Watson Assistant as the brains behind a Google Assistant Action to easily build a human-like chatbot.
Build and evaluate different predictive models and see the impact of sampling techniques on the accuracy of the predictive models.
In this pattern, we will set up a Drupal site by using Kubernetes and Postgres.
Create an iOS app that helps you find new movies to watch by using Turi Create, Apple's new deep learning framework.
Create a chatbot assistant to process payments and provide account information using Watson and the Real-Time Payments services on IBM Cloud.
Use NASA data with Watson Studio and Machine Learning to predict the intensity of wildfires.
Build a web UI that uses tools such as Node-RED and IBM Watson Assistant to track objects in space.
Create a custom classifier with IBM Watson Visual Recognition that identifies several cities based on their images at night.
In this developer code pattern, we will create a blockchain app that increases visibility and efficiency in the supply chain of a coffee retailer.
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