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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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Train a deep learning model to classify audio embeddings on Watson Machine Learning and perform inference/evaluation with Watson Studio.
Leverage Tensorflow and Fabric for Deep Learning to train and deploy Fashion MNIST model on Kubernetes.
Use a Jupyter Notebook to integrate the Fast Gradient Method from the Adversarial Robustness Toolbox into a model training pipeline leveraging FfDL.
Use an open source image caption generator deep learning model to filter images based on their content in a web application.
Use Node.js, Watson Assistant, and Watson Discovery services to create a virtual help desk to interact with end users for simple FAQ answer discovery.
Use Watson Knowledge Studio (WKS) to build a custom model to better categorize and structure procurement-related data for Watson Discovery to process and enrich so you can make purchasing decisions more quickly and accurately.
Create and deploy a blockchain network using Hyperledger Fabric SDK Java, setting up and initializing the channel, installing and instantiating chaincode, and performing invoke and query on your blockchain network.
Deploy a React UI that has can submit blockchain transactions and view the state of a blockchain ledger as updated.
Explore the Client Insight for Wealth Management service through a Jupyter Notebook and create a web application with the service.
Use Scala in a Jupyter Notebook to ingest and analyze clickstream data. The data is fed into IBM Db2 Event Store which is optimized for event-driven data processing and analytics.
Build a dynamic indoor map app using Apple MapKit. Add in floor plans and add in other overlays. Use a heat map to present the dynamic data.
Use machine learning to predict a bank client's CD purchase with XGBoost, scikit-learn, and Python in IBM Watson Studio.
Create a Node.js app that takes Amazon reviews and feeds them into the Watson Natural Language Understanding service, which will determine the average review sentiment for you.
Execute transactions and requests against a blockchain network by creating an app to test the network and its rules.
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