DATA: (THE PRIMORDIAL AND INFINITE SWAMP) by William Houze

Author:William Houze [Houze, William]
Language: eng
Format: azw3
Published: 2018-11-24T16:00:00+00:00

Given the amount of data being digitized and added to databases of all kinds from many vendors, it will soon become necessary to arbitrarily limit the size and kind of data that will be used by the Enterprise and others.

Already the size and complexity of some databases is such that users access it via AI and algorithms running against the target database(s) to help the computer system mine the data “on its own,” which is a shorthand definition of Machine Learning (ML). And as a result, it is postulated, the humans interested in the results will then be able to “learn” about the “deep meaning” of the data set(s) in question.

The advent of truly big data is one reason that AI and

That is, “Machine learning (ML) is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to "learn" (e.g., progressively improve performance on a specific task) from data, without being explicitly programmed.”[66]

ML typically involves one or more of the following activities/goals as established by the data gurus who are steeped in AI, statistics, mathematics, linguistics, learning theory, epistemology, branches of philosophy, and a host of related subjects all of which are far beyond the kenning of 99.9% of the employees who want data output they can use across the Enterprise.

Here is the list, with selected breakouts to show the levels and range of arcane opened up by those who make a living pursuing meaningful creatures as they explore the depths and bayous of the data swamp:

Problems Classification

Clustering Regression

Anomaly detection

AutoML

Association rules

Reinforcement learning

Structured prediction

Feature engineering

Feature learning

Online learning

Semi-supervised learning

Unsupervised learning

Learning to rank

Grammar induction

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.