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 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 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….
Summary In this developer code pattern, we use the typical customer care chatbot experience, but instead of relying on predefined responses the dialog provides a hook that can call out to other IBM® Watson services for additional sources of information. In this case, it’s an owners manual that has been uploaded to Watson Discovery. Note:…
Neutrinos are one of the most mysterious members of the Standard Model, a framework for describing fundamental forces and particles in nature. While they are among the most abundant known particles in the universe, they interact very rarely with matter, making their detection a challenging experimental feat. One of the long-standing puzzles in neutrino physics…
If you don’t get seasick, an autonomous boat might be the right mode of transportation for you. Scientists from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Senseable City Laboratory, together with Amsterdam Institute for Advanced Metropolitan Solutions (AMS Institute) in the Netherlands, have now created the final project in their self-navigating trilogy:…
In the past few years, artificial intelligence models of language have become very good at certain tasks. Most notably, they excel at predicting the next word in a string of text; this technology helps search engines and texting apps predict the next word you are going to type. The most recent generation of predictive language…
The demand for computing-related training is at an all-time high. At MIT, there has been a remarkable tide of interest in computer science programs, with heavy enrollment from students studying everything from economics to life sciences eager to learn how computational techniques and methodologies can be used and applied within their primary field. Launched in…
The U.S. Centers for Disease Control and Prevention estimates that one in seven children in the United States experienced abuse or neglect in the past year. Child protective services agencies around the nation receive a high number of reports each year (about 4.4 million in 2019) of alleged neglect or abuse. With so many cases,…