Mark Kim-Mulgrewhttps://markkm.com/Recent content on Mark Kim-MulgrewHugo -- gohugo.ioen-usCC-BY-NC 4.0, unless otherwise specified.Tue, 14 May 2019 00:00:00 +0000An Introduction to Kerberoshttps://markkm.com/blog/an-introduction-to-kerberos/Tue, 14 May 2019 00:00:00 +0000https://markkm.com/blog/an-introduction-to-kerberos/An introduction to Kerberos, a popular authentication protocol.Catshttps://markkm.com/cats/Tue, 25 Dec 2018 00:00:00 +0000https://markkm.com/cats/Cats are very important.Elias M. Stein, 1931-2018https://markkm.com/blog/elias-m-stein/Tue, 25 Dec 2018 00:00:00 +0000https://markkm.com/blog/elias-m-stein/An obituary of Elias M. Stein, one of the most influential mathematicians of the post-World War II era.Reservoir sampling: who discovered Algorithm R?https://markkm.com/blog/reservoir-sampling/Sun, 28 Oct 2018 00:00:00 +0000https://markkm.com/blog/reservoir-sampling/The historical origin of Algorithm R, the first reservoir sampling algorithm.(Linear-algebraic) Mathematical preliminaries for machine learninghttps://markkm.com/blog/elements-of-linear-algebra/Tue, 05 Sep 2017 00:00:00 +0000https://markkm.com/blog/elements-of-linear-algebra/Carnegie Mellon runs a nice foundational course in machine learnining called 10-715: Advanced Introduction to Machine Learning. While following the Fall 2017 version of the course, I decided to supply a quick set of notes on the mathematical preliminaries for the course material. I ended up mostly writing about linear algebra, as I did not have the time to finish the section on probability theory.
Download the notes here: GitHubEmbeddings in data sciencehttps://markkm.com/blog/embeddings-in-data-science/Tue, 15 Aug 2017 00:00:00 +0000https://markkm.com/blog/embeddings-in-data-science/A quick high-level overview of embeddings in the context of data science.A crash course in logichttps://markkm.com/blog/a-crash-course-in-logic/Sun, 20 Mar 2016 00:00:00 +0000https://markkm.com/blog/a-crash-course-in-logic/A quick introduction to propositional and first-order logic for a mathematically-inclined lay audience.Elements of linear algebrahttps://markkm.com/blog/linear-algebraic-mathematical-preliminaries-for-machine-learning/Fri, 27 Nov 2015 00:00:00 +0000https://markkm.com/blog/linear-algebraic-mathematical-preliminaries-for-machine-learning/A survey of algebraic and analytic aspects of vector space theory.Elements of abstract algebrahttps://markkm.com/blog/elements-of-abstract-algebra/Fri, 22 May 2015 00:00:00 +0000https://markkm.com/blog/elements-of-abstract-algebra/A quick survey of elementary abstract algebra, leading up to the classification of finite fields.An introduction to group actionshttps://markkm.com/blog/an-introduction-to-group-actions/Wed, 01 Oct 2014 00:00:00 +0000https://markkm.com/blog/an-introduction-to-group-actions/An introduction to the theory of group actions, covering examples, various counting principles, Sylow's theorems, semidirect products, and extensions.