"Ultimate Data" is a 2 day class for any developer who has some experience with Go and wants to learn how to work with data to make better decisions. We believe these classes are perfect for data analysts/scientists/engineers interested in working in Go or Go programmers interested in doing data analysis. This class provides an intensive, comprehensive and idiomatic view on building predictive models, analytics engines, components of data pipelines, and more using Go. It is, in our opinion, perfect for anyone wishing to build data-driven applications that produce valuable insights, have reproducible behavior, and can be deployed within modern architectures.
A PhD trained data scientist/engineer with industry experience developing data science applications for large and small companies. Daniel has spoken at conferences around the world (Gopherfest, GopherCon, and more), maintains the Go kernel for Jupyter, and is actively helping to organize contributions to other open source data science projects.
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