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Modern Languages Building (MLB), Room 2001A

February 2020

R III: Modeling

February 28 @ 1:00 pm - 4:00 pm

This workshop will be heavy on conceptual understanding of basic regression modeling, but with demonstration of activities both essential and tangential to good modeling practice. GLM, model interpretation, model comparison,…

March 2020

Introduction to Python’s NumPy library

March 3 @ 10:00 am - 2:00 pm

This workshop will introduce you to the NumPy library in Python, which is useful in scientific computing. We will cover NumPy’s n-dimensional array object and associated functions in depth, along…

R by Example: Functional Programming with data.table

March 6 @ 2:30 pm - 4:00 pm

In the R by Example series of workshops, we’ll discuss example analyses in R as a vehicle for learning  commonly used tools and programming patterns. The “Functional Programming with dplyr” workshop…

Introduction to SAS: Simple Inference Procedures

March 10 @ 8:30 am - 3:30 pm

Prerequisites: Participant should have some familiarity with introductory statistics and be able to load data into and perform basic data manipulations in SAS. In this one-day, six-hour workshop we will…

Regular Expressions

March 13 @ 2:00 pm - 4:30 pm

Regular expressions are perfectly suited for people who like puzzles. Regular expressions are a sequence of characters used to define a search pattern. They are commonly used to do “find”…

Machine Learning in R

March 19 @ 2:00 pm - 4:00 pm

In this workshop, we’ll first discuss core machine learning concepts such as: choosing loss functions and evaluation metrics; splitting the data into training, validation, and testing sets; and cross-validation patterns…

Introduction to Deep Neural Networks with Keras/TensorFlow

March 24 @ 10:00 am - 12:00 pm

Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level, Python interface running on top of multiple neural network…