February 26

February K8s meetup

Kicking off the 2019 Capital Region K8s Meetup at Nfrastructure on February 26th (revised date)! Get together with others using Kubernetes to learn and share what you know. Find out how others are using it and start asking questions to your latest challenges.

February 28

Intro to Propensity Score Analysis

The use of propensity score methods (Rosenbaum & Rubin, 1983) for estimating causal effects in observational studies or certain kinds of quasi-experiments has been increasing in the social sciences (Thoemmes & Kim, 2011) and in medical research (Austin, 2008) in the last decade. Propensity score analysis (PSA) attempts to adjust selection bias that occurs due to the lack of randomization. Analysis is typically conducted in two phases where in phase I, the probability of placement in the treatment is estimated to identify matched pairs or clusters so that in phase II, comparisons on the dependent variable can be made between matched pairs or within clusters. R (R Core Team, 2012) is ideal for conducting PSA given its wide availability of the most current statistical methods vis-à-vis add-on packages as well as its superior graphics capabilities.

March 6

StartUp Tech Valley Meet-Up - March 6

For those of you who are new, Startup Tech Valley is a monthly meetup for first-time entrepreneurs, experienced entrepreneurs, aspiring entrepreneurs, investors, mentors, employees of startups, service providers to startups, and anyone else who wants to be involved. To register for this event, you must go to our website.

March 11

March CASSUG Monthly Meeting

March Guest speaker a George Walters will talk about Security features from SQL 2005 through 2017! About George: Solving customer needs and issues are my passion. I can translate customer pain into potential solutions. A seasoned Microsoft SQL and Azure expert, with over 20 years of experience with Microsoft SQL Server, Sybase, Oracle, and other relational databases. Specialties: PreSales Engineering, Cloud Architecture, Enterprise Scalability, SQL Server performance, Business Intelligence, High Availability, Scale.