Learn about 7 artificial intelligence (AI) industry trends that help users simplify and scale the overall machine learning (ML) lifecycle. Find out why each trend matters for operational machine learning and what factors should be considered as a business decides to exploit a trend to accelerate their operational machine learning practice.
In this post, we will take a deep dive into how to build knowledge graphs followed by a demonstration of how Knowledge Graphs could be employed with Graph Machine Learning towards enhanced healthcare services.
In this series of two blog posts, I will show how we can employ Graph Machine Learning techniques to tackle a healthcare use case- the problem of automatically predicting diagnoses for patients staying in intensive care units. In this first post, we will introduce how we can build Knowledge Graphs (KGs) from heterogeneous sources. In the second post, we will deep-dive in the healthcare domain to demonstrate how to employ Graph Machine Learning over the constructed healthcare...
Learn how to set up a machine learning sandbox on Oracle Cloud Infrastructure (OCI). In this tutorial, you'll learn how to provision a GPU compute environment on Oracle Cloud Infrastructure Compute and install Anaconda Distribution, an open source tool for developing and testing machine learning models.
Artificial intelligence has been changing the landscape for all kinds of businesses. Discover how the world of retail using AI to transform the in-store environment, to offer superior experiences and achieve higher revenues.
Learn a practical way to predict customer demand with machine learning. We will use the Oracle Autonomous Data Warehouse Cloud with its built-in machine learning capabilities. One of the things I like especially about this approach rather than using an external ML tool is that it lets us work directly with the data at its source, without any data movements.