Deep Saturation

Vectorization, the deep saturation of the table by algebra, constitutes all relations as movements of transformation, diagonalization, inversion or rotation. Mackenzie 2017:76


Traversing Date

Drawing lines or flat surfaces at various angles and directions is perhaps the main way in which the volume of data is traversed, and a relation between input and output, between predictors and prediction, consolidated as a loci or data … Mehr…


Table

The table or the row-column addressable grid is common to all of [machine learning] datasets. And yet, as we are about to see, machine learning in many ways deals with the collapse or liquidation of tabular datasets. Mackenzie 2017:57 #table … Mehr…


Vectoral Space

The operational power of machine learning locates data practice in an expanding epistemic space. The space derives, I will suggest, from a specific operational diagram that maps data into a vector space. Mackenzie 2017:52


Statistical algorithmic diagrams

In #machinelearning, coding changes from what we might call symbolic logical diagrams to statistical algorithmic diagrams. Mckenzie 2017:46


Coding cultures

…the use [of] programming languages such as Python and R more than specialized commercial statistical and data software packages such as Matlab, SAS or SPSS  is perhaps symptomatic of shifts in computational culture. Coding cultures are crucial to the recent … Mehr…


Relations

Materially, code is only one element in the diagram of machine learning. It displays, with greater or lesser degrees of visibility relations between a variety of forces (infrastructures, scientific knowledges, mathematical formalisations, etc.). McKenzie 2017:45 #AI #ML


Constellation

an immense constellation of documents, software, publications, blog pages, books, spreadsheets, databases, data centre architectures, whiteboard and blackboard drawings, and an inordinate amount of talk and visual media orbit around #machinelearning. McKenzie 2017:44 #AI


Not magic

#Machinelearning is not magic; it cannot get something from nothing. What it does is get more from less. Programming, like all engineering, is a lot of work: we have to build everything from scratch. (Domingos 2012, 81)


Apps

To use apps from Google Play Store on an Android device, a user must have a Google Account, which becomes a key gateway through which Google collects personal information, including user name, email, and phone number. Schmidt 2018 #dataproduction