Week 9

Expected values, variance, and continuous distributions
Published

November 20, 2023

Modified

September 15, 2023

Resources

Chapter Topic Slides Annotated Slides Recording
28 Expected value of continuous RVs
29 Variance of continuous RVs
31 Uniform RV
32 Exponential RV
33 Gamma RV
35 Normal RV

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On the Horizon

Class Exit Tickets

Monday (11/20)

Additional Information

Statistician of the Week: Mike Dairyko

Image credit: Will Stone

Mike Dairyko

Dr. Dairyko was a Posse Scholar at Pomona College where a linear algebra class set him on a career path centered around mathematics. Through that class he found his way to two different summer REU programs and eventually to a PhD in Applied Mathematics from Iowa State University (2018). While initially believing that he would stay in academia after his graduate work, being introduced to machine learning methods caused him to pursue data science jobs after graduation.

Dr. Dairyko served as a Senior Manager of Data Science at the Milwaukee Brewers and is now the Director of Ticketing Analytics at the Milwaukee Bucks. Helping the organization get the most out of budgeting, revenue, and ticket sales allows him to fully use his training in mathematics and data science.

Topics covered

Dr. Dairyko’s graduate work is in graph theory, in particular, exponential domination. In a graph, exponential domination is the extent to which a particular vertex influences the remaining vertices in a graph. His published work falls very much within the realm of mathematics, proving that particular properties of graphs exist. However, graph theory is intimately related to machine learning; for example, it is the foundational structure of a neural network. Understanding properties of graphs help data scientists develop even more powerful models to harness information from data.

Relevant work

Other

Dr. Dairyko’s path from mathematics to data science has been written about in SIAM and in the Iowa State University newsletter Math Matters.

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