Machine Learning 102 - 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 eight session in the series will cover Feature Extraction 102, where we will focus on the Explicit Semantic Analysis, its benefits over LDA and capabilities when working with large Text Corpus like Wikipedia. We will see demos on built-in custom text corpus as well as Wikipedia using SQL and Python with OML4Py. developer.oracle.com/

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