Learn how to solve business problems using the Oracle Machine Learning for SQL application programming interface (API).

• Highlights of the Oracle Machine Learning for SQL API
  Learn about the advantages of OML4SQL application programming interface (API).
• Example: Predicting Likely Candidates for a Sales Promotion
  This example shows PREDICTION query to target customers in Brazil for a special promotion that offers coupons and an affinity card.
• Example: Analyzing Preferred Customers
  The examples in this section reveal information about customers who use affinity cards or are likely to use affinity cards.
• Example: Segmenting Customer Data
  The examples in this section use an Expectation Maximization clustering model to segment the customer data based on common characteristics.
• Example : Comparison of Texts Using an ESA Model
  The examples shows the FEATURE_COMPARE function comparing texts for semantic relatedness (similarity) using the Explicit Semantic Analysis (ESA) prebuilt Wikipedia-based model, which extracts topics and compares text.
• Example: Using Vector Data for Dimensionality Reduction and Clustering
  The example demonstrates how to use vector data for dimensionality reduction and clustering, using Principal Component Analysis (PCA) and k-Means.