At just one year old, a baby is more dexterous than a robot. Sure, machines can do more than just pick up and put down objects, but we’re not quite there as far as replicating a natural pull toward exploratory or sophisticated dexterous manipulation goes. Artificial intelligence firm OpenAI gave it a try with Dactyl…
Summary This code pattern describes a way to gain insights by using Watson OpenScale and a SageMaker machine learning model. It explains how to create a logistic regression model using Amazon SageMaker with data from the UC Irvine machine learning database. The pattern uses Watson OpenScale to bind the machine learning model deployed in the…
Summary This code pattern uses a German Credit data set to create a logistic regression model using Azure. The pattern uses Watson OpenScale to bind the machine learning model deployed in the Azure cloud, create a subscription, and perform payload and feedback logging. Description With Watson OpenScale, you can monitor model quality and log payloads,…
Note: This code pattern uses the classic Watson Assistant experience. After October 8, 2021, all instances (except the standard plan) can switch between the classic and new Watson Assistant experiences by going to the upper-right corner of the Watson Assistant screen and clicking the Manage icon. Summary In this code pattern, build a framework that…
Note: This code pattern uses the classic Watson Assistant experience. After October 8, 2021, all instances (except the standard plan) can switch between the classic and new Watson Assistant experiences by going to the upper-right corner of the Watson Assistant screen and clicking the Manage icon. Summary In this code pattern, learn how to authenticate…
Summary In this code pattern, learn how to use the Cortex Certifai Toolkit to create scans to evaluate the performance of multiple predictive models using IBM Watson Studio. Description Explainability of AI models is a difficult task that is made simpler by Cortex Certifai. The Cortex Certifai Tookit evaluates AI models for robustness, fairness, and…
Summary In this developer code pattern, we will demonstrate how to quickly build an e-learning portal using IBM Watson® Media. Solutions can be scaled with Watson Media, but the scope of this pattern focuses on the following capabilities: Creating channels for different areas of learning. Creating and uploading videos for a channel. Password-restricting access to…
Summary In this code pattern, gain better insights and explainability by learning how to use the AI 360 Explainability Toolkits to demystify the decisions that are made by a machine learning model. This not only helps policymakers and data scientists to develop trusted explainable AI applications, but also helps with transparency for everyone. To demonstrate…
Summary Developers use the IBM Watson Discovery service to rapidly add a cognitive, search, and content analytics engine to applications. With that engine, they can identify patterns, trends, and insights from unstructured data that can drive better decision making. Sometimes, you want to improvise the search results by providing more training details. Relevance training is…
Summary In this developer code pattern, we will show how to create a database of ecommerce clickstream data with DataStax Enterprise or Apache Cassandra. Using Red Hat OpenShift and the DataStax Kubernetes Operator for Apache Cassandra, you can deploy this distributed database on-premises or on your cloud provider of choice with a unified OpenShift experience….