Michael Mahoney - Teaching

Classes

• Spring 2018: Linear Algebra for Data Science: A four-unit introductory class on linear algebra, from the perspective of probablity and related topics in the mathematics of data. It completely redesigns the usual presentation of linear algebra from the ground up to be more appropriate for data applications. (This is expanded from a two-unit "connector" class on mathematics for matrices/graphs/data that I designes and taught during Spring 2017 and Spring 2016.) (I have a detailed but work-in-progress set of course notes for this class. I will post them at an appropriate point; but, in the meantime, email me if you are interested in them.)

• Spring 2015: "Stat260/CS294: Topics in Spectral Graph Methods", an overview of practical spectral graph theory. Update: full set of course lectures.

• Fall 2013: "Stat260/CS294: Randomized Algorithms for Matrices and Data", an overview of Randomized Linear Algebra. Update: full set of course lectures.

• Fall 2009: CS369M: Algorithms for Massive Data Set Analysis

Summer Schools and Workshops

• "Foundations of Data Science": Fall 2018 program at the Simons Institute at UC Berkeley.

• MMDS 2016, 2014, ...: for more information, see the main MMDS web page, or the MMDS Video Library.

• "Mathematics of Data": 2016 Summer School at the PCMI (Park City Mathematics Institute); for more information, see the flyer and the (upcoming) edited volume of lectures.

• "RandNLA: Randomization in Numerical Linear Algebra": 2015 Gene Golub SIAM Summer School, June 2015, in Delphi, Greece; for more information, see the flyer, or the SIAM News article about it.

• "Theoretical Foundations of Big Data Analysis": Fall 2013 program at the Simons Institute at UC Berkeley.

MMDS Workshops

We started the MMDS Workshops on "Algorithms for Modern Massive Data Sets" to address algorithmic and statistical challenges in modern large-scale statistical data analysis.

• MMDS 2016 took place on the campus of UC Berkeley on June 21-24, 2016. See the main MMDS web page for more information.

• MMDS 2014 took place on the campus of UC Berkeley on June 17-20, 2014. See the main MMDS web page for more information. Click here for the entire video collection.

• MMDS 2012 took place on the campus of Stanford University on July 10-13, 2012. For pdfs and videos of the presentations, go to the main MMDS web page; or click here for the entire video collection.

• MMDS 2010 took place on the campus of Stanford University on June 15-18, 2010. MMDS 2010 addressed computation in large-scale scientific and internet data applications more generally. See the MMDS web page for details, including articles and all the speaker overheads!

• MMDS 2008 took place on June 25-28, 2008. MMDS 2008 grew out of our expectation for what the algorithmic and statistical foundations of large-scale data analysis should look like a generation from now. Click here for an article that appeared in SIGKDD Explorations and SIAM News about the meeting.

• MMDS 2006 took place on June 21-24, 2006. MMDS 2006 was originally motivated by the complementary perspectives brought by numerical linear algebra and theoretical computer science to matrix algorithms in large-scale data applications. Click here for an article in SIAM News about the meeting.