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Cognitive Technologies White Paper

This white paper provides a basic description for each of the cognitive technologies, examples of their various applications, and several enabling factors ...

www.archives.gov·880.8 KB
[PDF] Live Action Machine Learning White Paper

Machine learning is a set of techniques that enable computers to “learn”—that is, identify patterns and establish relationships in a data set—without being ...

www.liveaction.com·878.6 KB
SponsoredChroma Recall — a free color memory game. Train your eye, beat your streak.
Machine Learning Report

The investigation will examine the effectiveness of two ML algorithms, one supervised (Random Forest) and one unsupervised (K-means Clustering),.

ibrice101.github.io·725.7 KB
Machine learning - report summary - Royal Society

The Royal Society’s report Machine learning: the power and promise of computers that learn by example sets out the actions necessary to allow us to benefit fully from the development of machine learning and to address some of the associated challenges.

royalsociety.org·645.3 KB
[PDF] Machine Learning + Libraries

This extensive documentation was gathered in the event report, “Machine Learning + Libraries. Summit Event Summary,” written by Eileen ...

labs.loc.gov·444.7 KB
[PDF] White Paper - Macedon Technologies

It is a way to gain insights into data. As such, any mathematical model that helps to gain insights or provide classifications, can be considered a machine.

www.macedontechnologies.com·410.0 KB
Machine Learning Final Project Report

The final project of this machine learning class is a challenging multi-label prediction problem with missing data. We use polynomial surface regression for pairwise-feature fitting, and then use the features with least fitting error to predict missing data.

people.csail.mit.edu·222.0 KB
CMPS242 Machine Learning Final Project Report

We use the k-medoids algorithm to cluster the businesses as not all attributes are numeric in nature and we need a richer set of dissimilarity scores. We run experiments with var-ious parameter settings, dissimilarity scores, and features and report the rand index on a “gold standard” data set.

dhawaljoh.github.io·156.6 KB

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