#109 Joshua Sheppard, Data Science is Hard

Summary
Joshua Sheppard of Infinite Campus tells my about their data science and machine learning projects and how you can start your own.

Details
Who he is, what he does. What is data science, is a data scientist a role or a team, what skills are needed. Data vs big data. When does SQL + math become science, how to get started, Python, R and other languages; trying to follow software engineering principles when doing data science, testing, source control, etc. Azure and AWS machine learning, getting your data in to the cloud. Moving to production, scaling. Josh's data and insights into the school districts in Kentucky. Applying insights to other locations. Home baking your data science project vs leveraging the cloud platforms, it's all about access to data. Future of the field.

Links
Joshua's homepage
Joshua's Twitter

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#108 Mark Rendle, Gathering Metrics in .NET Core

Summary
Mark Rendle tells me why gathering metrics is so important, how to do it with .NET Core and how to analyze what you have collected.

Details
Who he is, what he does, training videos. Event Tracing for Windows and diagnostic source, tracking numbers. Logging versus diagnostics, turning on diagnostics, writing to diagnostic sources, things that already write to diagnostic sources, how to see diagnostic sources in action. Time series database, InfluxDb, cross referencing with logging, comparing InfluxDb to Prometheus, Grafana; Mark's library for InfluxDb, why it is very efficient. Memory allocation and garbage collection. Using the data in InfluxDb. Loupe logging, monitoring and metrics tool. Mark advises you measure everything, his upcoming and past talks.

Links
Mark's homepage
Mark's Twitter

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