"Official" End of Summer BARUG Meetup

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Agenda:
6:30 Pizza and networking
7:00 Welcome to Microsoft
7:05 Announcements
7:10 John-Mark Agosta - Decision Quality for Data Scientists
7:35 Nina Zumel & John Mount - Practical Data Science with R
8:00 Felix Schildorfer - Predicting Customer Purchasing Patterns
8:25 Ari Lamstein - Behind the Scenes at an R Consortium Project

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John-Mark Agosta
Decision Quality for Data Scientists
Borrowing from lessons in model formulation as developed in the field of Decision Analysis, this talk will share some lessons that apply to Data Science projects, and include an interlude on probabilistic model calibration.

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Nina Zumel & John Mount
Practical Data Science with R

Practical Data Science with R (Zumel and Mount) was one of the first, and most widely-read books on the practice of doing Data Science using R. We have been working hard on an improved and revised 2nd edition of our book (coming out this Fall). The book reflects more experience with data science, teaching, and with R itself. We will talk about what direction we think the R community has been taking, how this affected the book, and what is new in the upcoming edition.

BIO

Nina and John are the founders of Win-Vector LLC, a San Francisco based company specializing in data science consulting and training. They author a number of R and Python packages, and work in a variety of industries, with organizations both large and small. The Win-Vector blog is followed by data scientists worldwide.

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Felix Schildorfer
Predicting Customer Purchasing Patterns

In this presentation I will explain and walk through a model to predict future purchasing patterns for a customer base that can be described by these structural characteristics. The beta-geometric/beta-Bernoulli (BG/BB) model captures both of the underlying behavioral processes (i.e., customers’ purchasing while “alive” and time until each customer permanently “dies”). The model is easy to implement using R's Open Source Library BTYD which was created and is maintained by Daniel McCarthy. For more information see Fader et al. (2010) https://bit.ly/2yynzaK

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Ari Lamstein
Behind the Scenes of an R Consortium Project

In this talk I will provide an overview of A Guide to Working with US Census Data (https://rconsortium.github.io/censusguide/), describe how the document came to be, and provide some advice on applying for R Consortium funding for similar projects.