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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
- ...oral difference (TD) learning is a central and novel idea in reinforcement learning. * It is a Model-free learning algorithm ...2 KB (322 words) - 09:32, 26 October 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
- Reinforcement learning (RL) is the process of optimizing rewards in a sequential decision making p Creating a reinforcement learning algorithm is specifically challenging because of the following items: ...9 KB (1,414 words) - 08:31, 11 March 2023
- 918 bytes (160 words) - 05:36, 17 May 2020
- 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
- [[Category:Reinforcement learning|Policy iteration]] ...2 KB (464 words) - 08:32, 11 March 2023
- ===The Perceptron and Backpropagation Neural Network Learning=== ...to note that we control the rate of learning, in this case via a constant learning rate <math>\eta </math>. This is because if we learn too quickly we can ov ...27 KB (4,812 words) - 10:23, 14 April 2020
- 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
- 1. Describe the topic you are learning and/or teaching. 2. Add links to relevant Wikipedia entries and other learning materials. ...6 KB (884 words) - 11:02, 10 August 2020
- ...is page will be converted so it consists of links to relevant teaching and learning materials. ===Possible learning contexts=== ...8 KB (1,221 words) - 15:31, 7 May 2016
- [[Category:Reinforcement learning|Markov Decision Process]] ...3 KB (445 words) - 08:31, 11 March 2023
- 152 bytes (18 words) - 04:20, 16 May 2016
- ...\mathbb{E}_\pi [G_t \mid s_t = s]</math>. (Read more about [[Reinforcement Learning/Bias of an estimator|Bias of an estimator]]). [[Category:Reinforcement learning|Monte Carlo Policy Evaluation]] ...5 KB (881 words) - 08:32, 11 March 2023
- [[Category:Reinforcement learning|Statistical estimators: Bias and Variance]] ...2 KB (377 words) - 08:32, 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
Page text matches
- 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
- ...oral difference (TD) learning is a central and novel idea in reinforcement learning. * It is a Model-free learning algorithm ...2 KB (322 words) - 09:32, 26 October 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
- ...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
- In this learning module about productive geometry we consider a special application of proje == Learning Task == ...2 KB (225 words) - 13:53, 3 March 2025
- ...onment full of activities and learning projects. By participating in these learning projects, you can learn what science is and how science is done, While doin *explore - look for activities and learning projects that are related to your interests; if you do not find what you ar ...2 KB (312 words) - 00:45, 20 October 2014
- ...n certain criteria. This is known as [[w:en:supervised learning|supervised learning]]. == Learning Tasks == ...3 KB (436 words) - 06:42, 23 March 2023
- == Learning Task == ...2 KB (208 words) - 23:59, 6 January 2023
- == Learning Task == ...1 KB (218 words) - 11:43, 31 December 2017
- This learning resource was created as ''[[w:en:Projective geometry|Projective Geometry]]< This learning resource can be displayed as '''[https://niebert.github.io/Wiki2Reveal/wiki ...7 KB (946 words) - 13:53, 3 March 2025
- == Learning Task == ...2 KB (244 words) - 13:07, 5 December 2021
- In learning statistical mechanics, there are three statistical distributions (though in ==Learning projects and learning resources== ...6 KB (906 words) - 23:08, 26 July 2017
- ==Learning Project Summary== * '''[[Wikiversity:Major portals|Portals]]: [[Portal:Learning Projects|Learning Projects]], [[Portal:Engineering and Technology|Engineering and Technology] ...6 KB (984 words) - 01:38, 30 April 2020
- 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
- This learning resource starts with a statement that should be analysed by the learner. Th == Learning Task == ...2 KB (364 words) - 10:00, 8 May 2019
- ...le Development Goal 04QualityEducation.svg|thumb|SDG4: Quality Education - Learning Resouce supports the SDGs - [https://www.un.org/sustainabledevelopment/news ...ble]] quality education and promote [[Wikipedia:lifelong learning|lifelong learning]] opportunities for all<ref>{{cite web|url=http://www.undp.org/content/undp ...5 KB (735 words) - 01:03, 15 February 2023
- == Learning Objective == ...velops+and+maintains+a+parcours+with+learning+tasks+at+the+river+Queich+as+Learning+Lab%22%7D%5D Example Map with Markers/Icons and assigned Popups] ''' ...6 KB (886 words) - 12:18, 1 April 2024
- Classification is a subcategory of supervised learning problems. [[Category:Machine learning|Classification algorithms]] ...1 KB (203 words) - 08:27, 11 March 2023
- ...lor:gray">Lenses • </span>[[Filmmaking Basics/Camera Lenses/Depth of field|Learning how focal length creates mood]]. * <span style="color:gray">Lenses • </span>[[Lesson:Lens Depth Of Field| Learning how depth of field focuses attention]]. ...4 KB (611 words) - 16:04, 17 November 2021
- ==Learning Materials== Active participants in this [[Portal:Learning Projects#Learning Groups|Learning Group]] ...4 KB (546 words) - 17:56, 25 March 2019