Spreadsheet risk and Unsupervised learning: Difference between pages

From ACT Wiki
(Difference between pages)
Jump to navigationJump to search
imported>Doug Williamson
m (Update links.)
 
imported>Doug Williamson
(Create page. Sources: Linked pages.)
 
Line 1: Line 1:
''Spreadsheet risk - identification.''
''Information technology - software - machine learning - natural language processing.''


The risk of financial losses or other adverse effects resulting from:
In the context of machine learning, unsupervised learning is learning without a human trainer.
*Invalid assumptions
*Other errors
*Omissions or
*Duplications in a spreadsheet.


 
It generally includes the use of unlabelled data.
In addition, losses and other adverse effects may also result from any one or more of:
#Fraud
#Overconfidence in the spreadsheet's results
#Overdependence on the spreadsheet
#Misinterpretation of results
#Failure to communicate assumptions and limitations
#Or failure to understand the consequences of assumptions and limitations.




== See also ==
== See also ==
* [[Ceteris paribus]]
* [[Artificial intelligence]] (AI)
* [[EuSpRIG]]
* [[Artificial super-intelligence]] (ASI)
* [[FAST Modelling Standard]]
* [[Bot]]
* [[Model risk]]
* [[Chatbot]]
* [[Shadow model]]
* [[ChatGPT]]
* [[Sign convention]]
* [[Data]]
* [[Spreadsheet]]
* [[Data labelling]]
* [[Deep learning]]
* [[Generative pre-trained transformer]]  (GPT)
* [[GPT-4]]
* [[Human-in-the-loop]]
* [[Information technology]]
* [[Language model]]
* [[Large language model]]  (LLM)
* [[Machine learning]]
* [[Natural language]]
* [[Natural language processing]]
* [[Neural network]]
* [[Reinforcement Learning from Human Feedback]]  (RLHF)
* [[Robotics]]
*[[Software]]
* [[Software robot]]
*[[Supervised learning]]


[[Category:The_business_context]]
[[Category:Identify_and_assess_risks]]
[[Category:Manage_risks]]
[[Category:Manage_risks]]
[[Category:Risk_frameworks]]
[[Category:Risk_reporting]]
[[Category:Technology]]
[[Category:Technology]]

Revision as of 19:21, 23 April 2023

Information technology - software - machine learning - natural language processing.

In the context of machine learning, unsupervised learning is learning without a human trainer.

It generally includes the use of unlabelled data.


See also