Details: One of the coolest new features of SQL Server 2017 is its integration with Python for machine learning (ML). By combining the two technologies SQL Server 2017 can query predictive models very quickly and provide a smoother development platform for machine learning. A common task for ML systems is to classify text and graphics into one or more categories. Sentiment analysis and document type sorting are two classic and well established use cases. At the end of the presentation attendees will understand the mechanics of developing a machine learning application and how Machine Learning Services fits into this process.
Speaker: Michael Warner (https://www.linkedin.com/in/michael-warner-b31845141/)
Bio: Michael has worked in the data space for over a decade and has recently been leading big data projects in the area of civil rights. His toolset is diverse but he has a particular penchant for MS SQL Server, Python, and Tableau. Most of his recent projects involve deriving insight from public data and natural language processing.