Unstructured data are growing exponentially and become the essential data sources for a wide variety of business domains. All these vast amounts of data has little use without sophisticated analytics and deployable prediction models.
Personalized information and offerings are absolutely necessary. Interconnected devices and sensors have to act on a multitude of situations without any human interaction. Machine Learning techniques seems to be the miracle cure for all these tasks. But there is no free lunch to provide a competitive advantage for a company.
The presentation explains how to develop prediction models from historical data, clarifies ingredients of machine learning algorithms and illustrates different areas of application.
For more details see the slideset of Richmond IT Forum 2016
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