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Next Session
November 5, 2020: Oracle Machine Office Hours, 8AM US Pacific
Machine Learning 102 – Clustering
Have you always been curious about what machine learning can do for your business problem,
but could never find the time to learn the practical necessary skills? Do you wish to learn what
Classification, Regression, Clustering and Feature Extraction techniques do, and how to apply
them using the Oracle Machine Learning family of products?
Join us for this special series “Oracle Machine Learning Office Hours – Machine Learning 101”,
where we will go through the main steps of solving a Business Problem from beginning to end,
using the different components available in Oracle Machine Learning: programming
languages and interfaces, including Notebooks with SQL, UI, and languages like R and Python.
This sixth session in the series will cover Clustering 102, and we will learn more about the
methods on multiple dimensions, how to compare Cluster techniques, and explore
Dimensionality Reduction and how to extract only the most meaningful attributes from
datasets with lots of attributes (or derived attributes).
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