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Next Session
December 3, 2020: Oracle Machine Office Hours, 8AM US Pacific
Machine Learning 101 – Feature Extraction
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 seventh session in the series will cover Feature Extraction 101, and we will learn more
about the methods to extract meaningful attributes from a large number of columns in
datasets, explore Dimensionality Reduction and how it can be beneficial as a pre-processing
for Machine Learning models.
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