How can machine learning advance research in the humanities? What new challenges can humanities problems pose for machine learning? What insights can humanistic perspectives bring to bear upon the social and cultural dimensions of machine learning?

The new ML + Humanities Initiative at…

Widespread efforts over the past two decades have drastically improved digital access to cultural heritage collections, transforming research for historians, sociologists, political scientists, and humanities researchers. Yet, scholars and the public alike face a persistent challenge: how to navigate and analyze these collections, which…

Abstract:
Would Kepler have discovered his laws if machine learning had been around in 1609? Or would he have been satisfied with the accuracy of some black box regression model, leaving Newton without the inspiration to discover the law of gravitation? In this talk I will discuss problems with the use of industry…

How can machine learning advance research in the humanities? What new challenges can humanities problems pose for machine learning? What insights can humanistic perspectives bring to bear upon the social and cultural dimensions of machine learning?

The new ML + Humanities Initiative at…

This is a two-part Princeton University Wintersession workshop January 11 and 13, 2022 from 1 p.m. to 3 p.m. in which Anchuri will discuss Bitcoin’s history and how it works. Anchuri will also feature in these workshops the rise of Ethereum, a programmable blockchain, and the type of applications that can be developed in the Ethereum ecosystem…

This Wintersession course provides an introduction to effective data visualization in Python. Several plotting packages will be discussed, including Matplotlib, Seaborn, and Plotly. Examples may include simple static 1D plots, 2D contour maps, heat maps, violin plots, and box plots. The session may also touch on more advanced interactive plots.

This Wintersession course covers the basics of NumPy, the package that underlies most scientific computing done in Python. It will explain the NumPy array, the principal data type in the NumPy package, and how it differs from similar Python structures like lists. There will be particular emphasis on understanding the two core features of NumPy…

This is a two-part Princeton University Wintersession workshop January 11 and 13, 2022 from 1 p.m. to 3 p.m. in which Anchuri will discuss Bitcoin’s history and how it works. Anchuri will also feature in these workshops the rise of Ethereum, a programmable blockchain, and the type of applications that can be developed in the Ethereum ecosystem…

This Wintersession workshop aims to increase awareness of how machine learning could aid faculty, postdoc, and student research. No detailed prior knowledge of machine learning is assumed.

Many new random matrix ensembles arise in learning and modern signal processing. As shown in recent studies, the spectral properties of these matrices help answer crucial questions regarding the training and generalization performance of neural networks, and the fundamental limits of high-dimensional signal recovery. As a result, there has been growing interest in precisely understanding the spectra and other asymptotic properties of these matrices. Unlike their classical counterparts, these new random matrices are often highly structured and are the result of nonlinear transformations.