Presented at INSYNC 21
Session ID: 100100
Oracle Machine Learning comes free in every Autonomous Database. Oracle Machine Learning Notebooks provide easy to understand, reuse and repurpose ML methodologies that apply OML’s 30+ machine learning algorithms for in-database, parallelized implementations of classification, regression, clustering, anomaly detection, text mining, associations machine learning functions that can be used to tackle a wide variety of data-driven problems and to build “predictive” applications. This session will step through five (5) OML notebooks that can serve as the core of many data science projects: classification, attribute importance, time-series forecasting, text mining and anomaly detection.
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