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- K-means is a method of clustering which is an unsupervised learning problem. [[Category:Machine learning|Unsupervised Learning/K-means Clustering]] ...3 KB (601 words) - 08:28, 11 March 2023
- ...s of <u>'''non-parametric'''</u> algorithms that are used <u>'''supervised learning'''</u> problems: Classification and Regression. Amongst other machine learning methods, decision trees have various advantages: ...7 KB (1,115 words) - 08:28, 11 March 2023
- Unsupervised learning is a type of machine learning algorithm used to draw inferences from datasets consisting of input data wi The most common unsupervised learning method is '''cluster analysis''', which is used for exploratory data analys ...2 KB (221 words) - 08:26, 11 March 2023
- This page about ''Open Machine Learning'' can be displayed as '''[https://niebert.github.io/Wiki2Reveal/wiki2reveal The following aspects of ''Open Machine Learning'' are considered in detail: ...19 KB (3,119 words) - 16:24, 29 April 2024
- Classification is a subcategory of supervised learning problems. [[Category:Machine learning|Classification algorithms]] ...1 KB (203 words) - 08:27, 11 March 2023
- [[Category:Machine learning|Statistics Fundamentals]] ...769 bytes (119 words) - 08:27, 11 March 2023
- Here we give an overview and classification of machine learning topics and problems == Supervised Learning == ...4 KB (660 words) - 08:28, 11 March 2023
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- Unsupervised learning is a type of machine learning algorithm used to draw inferences from datasets consisting of input data wi The most common unsupervised learning method is '''cluster analysis''', which is used for exploratory data analys ...2 KB (221 words) - 08:26, 11 March 2023
- ...biology. The same can be applied on Artificial Neural Networks (ANN). This learning resource starts with the comparison of Biological Neuronal Networks (BNN) ( == Learning Tasks == ...4 KB (543 words) - 08:06, 20 November 2023
- Here we give an overview and classification of machine learning topics and problems == Supervised Learning == ...4 KB (660 words) - 08:28, 11 March 2023
- of information theory, machine learning and so on. ...G. W. Wornell, L. Zheng (2020). On Universal Features for High-Dimensional Learning and Inference. Foundations and Trends in Communications and Information The ...3 KB (331 words) - 09:31, 24 February 2021
- Classification is a subcategory of supervised learning problems. [[Category:Machine learning|Classification algorithms]] ...1 KB (203 words) - 08:27, 11 March 2023
- [[Category:Machine learning|Statistics Fundamentals]] ...769 bytes (119 words) - 08:27, 11 March 2023
- This page about ''Open Machine Learning'' can be displayed as '''[https://niebert.github.io/Wiki2Reveal/wiki2reveal The following aspects of ''Open Machine Learning'' are considered in detail: ...19 KB (3,119 words) - 16:24, 29 April 2024
- K-means is a method of clustering which is an unsupervised learning problem. [[Category:Machine learning|Unsupervised Learning/K-means Clustering]] ...3 KB (601 words) - 08:28, 11 March 2023
- This learning resource is created as a [[Wiki2Reveal]] course about an Open Search infras == Design of the Learning Resource == ...6 KB (967 words) - 07:57, 21 May 2021
- ...Source software for special needs e.g. * in research for an application of learning analytics or ...dicapped students and integrate the tool in the local IT infrastructure of learning environments at schools, colleges, universities, ... ...17 KB (2,529 words) - 09:06, 8 January 2023
- ...sponse Cycle with intergration of Satellite technology and smartphone (see Learning Task)]] ...ustainableCities.svg|thumb|[[SDG11]]: Sustainable Cities and Communities - Learning Resource supports the SDGs - [http://www.un.org/sustainabledevelopment/wp-c ...12 KB (1,685 words) - 09:29, 17 December 2024
- Bayes' Theorem is prominent in scientific discovery and machine learning. It allows conditional probabilities to accommodate new evidence in that ne ...2 KB (354 words) - 17:36, 27 October 2022
- ...s of <u>'''non-parametric'''</u> algorithms that are used <u>'''supervised learning'''</u> problems: Classification and Regression. Amongst other machine learning methods, decision trees have various advantages: ...7 KB (1,115 words) - 08:28, 11 March 2023
- ...[http://www.math.utah.edu/~beebe/software/ieee/ "The Pentium Chip Story: A Learning Experience," by Vince Emery. Accessed 21-04-2008]</ref> ...error cost the lives of 28 American soldiers stationed in Saudi Arabia. A machine designed to intercept missiles propagated an error over time and needed to ...3 KB (515 words) - 18:33, 3 July 2009
- </math> "KnitR"). The follow learning modul show how to integrate Octave (Open Source software numeric calculatio .../knitr4education/tree/main/en </ref> is an example that can be used in the learning resource. Keep in mind to adapt the path to Octave into the head of the Oct ...4 KB (606 words) - 17:09, 21 June 2024
- ) is a [[Wikipedia:Lie_superalgebra|Lie Superalgebra]] bound algorithmic learning model, on the horizon of evidence pertaining to [[Wikipedia:Supersymmetry|S ...ric Artificial Intelligence (though not Deep Gradient Descent-like machine learning) can be traced back to work by Czachor et al, concerning a single section/f ...19 KB (2,726 words) - 16:20, 4 October 2023
- ...s and layouts. Here one could even use techniques from statistical machine learning in order to do a real time decision marketing and adapting the site directl ...3 KB (516 words) - 20:57, 3 January 2015
- ...rst3=M.M.;|last4=Houssein|first4=E.H.|date=2023-01-01|title=Optimized deep learning architecture for brain tumor classification using improved Hunger Games Sea ...ed the feature selection process, leading to better performance in machine learning applications.<ref>{{Cite journal|last=Ma|first=B.J.;|last2=Liu|first2=S.;|l ...11 KB (1,585 words) - 00:50, 29 August 2024
- ==Learning Tasks== ==Learning Activities== ...18 KB (2,775 words) - 10:03, 20 October 2024
- == Purpose and motivation of this learning and reasearch project == ...ected targets. Cannon ( 1 rpm) can kill maximally one target. However, the machine gun is totally ineffective against a well armored target. Lets assume that ...11 KB (1,588 words) - 04:28, 8 May 2016