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#unsupervisedlearning

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Enabla<p>Don't pass by the new insightful lecture from Dr. Alejandro Rodriguez Garcia, Abdus Salam International Centre for Theoretical Physics (ICTP)! </p><p>In this one, Alex provides a comprehensive overview of various clustering methods, including flat, fuzzy, and hierarchical approaches. His lecture not only discusses the mathematical foundations of techniques like k-means and k-medoids but also highlights their practical applications across fields such as image recognition and data classification.</p><p>This lecture is an excellent opportunity to deepen your understanding of unsupervised learning and engage critically with advanced clustering methods.</p><p>Join Enabla to watch the lecture and interact with Dr. Rodriguez Garcia for free! Ask questions and spark discussions with both him and the rest of the Enabla community: <a href="https://enabla.com/pub/1109/about" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">enabla.com/pub/1109/about</span><span class="invisible"></span></a></p><p><a href="https://mathstodon.xyz/tags/UnsupervisedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnsupervisedLearning</span></a> <a href="https://mathstodon.xyz/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mathstodon.xyz/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mathstodon.xyz/tags/Clustering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Clustering</span></a> <a href="https://mathstodon.xyz/tags/OpenAccess" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenAccess</span></a></p>
Nom__XD, 飲ん,诺穆 (They/Them)🐈‍⬛<p><a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://mastodon.social/tags/chatgpt" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>chatgpt</span></a> <a href="https://mastodon.social/tags/claude" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>claude</span></a> <a href="https://mastodon.social/tags/gemini" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gemini</span></a> <a href="https://mastodon.social/tags/grok" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>grok</span></a> <a href="https://mastodon.social/tags/deepseek" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>deepseek</span></a> <a href="https://mastodon.social/tags/alexa" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>alexa</span></a> <a href="https://mastodon.social/tags/copilot" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>copilot</span></a> <a href="https://mastodon.social/tags/vibecoding" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>vibecoding</span></a> <a href="https://mastodon.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a> <a href="https://mastodon.social/tags/behaviortrees" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>behaviortrees</span></a> <a href="https://mastodon.social/tags/cnns" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cnns</span></a> <a href="https://mastodon.social/tags/transfomers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>transfomers</span></a> <a href="https://mastodon.social/tags/dnns" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dnns</span></a> <a href="https://mastodon.social/tags/supervisedlearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>supervisedlearning</span></a> <a href="https://mastodon.social/tags/unsupervisedlearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>unsupervisedlearning</span></a> <a href="https://mastodon.social/tags/reinforcedlearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcedlearning</span></a> <a href="https://mastodon.social/tags/aiart" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>aiart</span></a> <a href="https://mastodon.social/tags/ArtificialInteligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialInteligence</span></a> <a href="https://mastodon.social/tags/nlp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>nlp</span></a> 🖕🐾</p>
Kent Pitman<p>I put up an essay on my blog: "Unsupervised AI Children". It's about the issue of unsupervised AI doing self-directed learning.</p><p><a href="https://netsettlement.blogspot.com/2025/05/unsupervised-ai-children.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">netsettlement.blogspot.com/202</span><span class="invisible">5/05/unsupervised-ai-children.html</span></a></p><p><a href="https://climatejustice.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://climatejustice.social/tags/learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>learning</span></a> <a href="https://climatejustice.social/tags/unsupervised" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>unsupervised</span></a> <a href="https://climatejustice.social/tags/UnsupervisedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnsupervisedLearning</span></a> <a href="https://climatejustice.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://climatejustice.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a> <a href="https://climatejustice.social/tags/ethics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ethics</span></a> <a href="https://climatejustice.social/tags/AIEthics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIEthics</span></a> <a href="https://climatejustice.social/tags/safety" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>safety</span></a> <a href="https://climatejustice.social/tags/technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>technology</span></a> <a href="https://climatejustice.social/tags/risk" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>risk</span></a> <a href="https://climatejustice.social/tags/AlphaEvolve" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AlphaEvolve</span></a> <a href="https://climatejustice.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://climatejustice.social/tags/EvolutionaryProgramming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EvolutionaryProgramming</span></a></p>
Victor Paléologue<p>Did you know that unsupervised <a href="https://fediscience.org/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a> lie less than supervised models?<br><a href="https://arstechnica.com/science/2024/10/the-more-sophisticated-ai-models-get-the-more-likely-they-are-to-lie" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">arstechnica.com/science/2024/1</span><span class="invisible">0/the-more-sophisticated-ai-models-get-the-more-likely-they-are-to-lie</span></a><br><a href="https://fediscience.org/tags/UnsupervisedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnsupervisedLearning</span></a></p><p>"supervised resulted in the higher number of correct answers, but also in a higher number of incorrect answers and reduced avoidance"</p><p><a href="https://fediscience.org/tags/OpenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenAI</span></a> is still ahead: "<a href="https://fediscience.org/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ChatGPT</span></a> emerged as the most effective liar."</p><p>The author’s hypothesis is that replying "I don’t know" sells less well.</p>
Frank Aylward<p>I'm generating clusters from a large, sparse matrix (clustering a diverse set of genomes using protein family occurrence). </p><p>I've played around with SOM and various hierarchical clustering methods with different distance metrics. An other suggestions for obvious things I should try? </p><p><a href="https://genomic.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://genomic.social/tags/unsupervisedlearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>unsupervisedlearning</span></a> <a href="https://genomic.social/tags/genomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>genomics</span></a> <a href="https://genomic.social/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bioinformatics</span></a></p>
Victoria Stuart 🇨🇦 🏳️‍⚧️<p>... cont'd 5/5</p><p>Schaeffer et. al. argue that the emergent abilities are predictably acquired according to a smooth scaling law.</p><p>Are Emergent Abilities of Large Language Models a Mirage?<br><a href="https://arxiv.org/abs/2304.15004" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2304.15004</span><span class="invisible"></span></a></p><p>Prompt engineering: Chain-of-thought reasoning:<br><a href="https://en.wikipedia.org/wiki/Prompt_engineering#Chain-of-thought" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">en.wikipedia.org/wiki/Prompt_e</span><span class="invisible">ngineering#Chain-of-thought</span></a></p><p><a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/LargeLanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LargeLanguageModels</span></a> <a href="https://mastodon.social/tags/emergence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>emergence</span></a> <a href="https://mastodon.social/tags/EmergentProperties" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EmergentProperties</span></a> <a href="https://mastodon.social/tags/SystemsTheory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SystemsTheory</span></a> <a href="https://mastodon.social/tags/PromptEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PromptEngineering</span></a> <a href="https://mastodon.social/tags/reasoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reasoning</span></a> <a href="https://mastodon.social/tags/epistemology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>epistemology</span></a> <a href="https://mastodon.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://mastodon.social/tags/NLP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NLP</span></a> <a href="https://mastodon.social/tags/NaturalLanguageProcessing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NaturalLanguageProcessing</span></a> <a href="https://mastodon.social/tags/UnsupervisedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnsupervisedLearning</span></a> <a href="https://mastodon.social/tags/linguistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>linguistics</span></a></p>
Mike | Raymond Tec<p>I heard from <span class="h-card"><a href="https://infosec.exchange/@danielmiessler" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>danielmiessler</span></a></span> from <a href="https://social.raytec.co/tags/UnsupervisedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnsupervisedLearning</span></a> about a week ago and took some time to consider how to reply, because his message felt defensive and dismissive.</p><p>It also reinforced the impression I get that he spends a lot of time skimming and not reading.</p><p>FWIW: I think he's a good and very intelligent guy, but I do think he should try harder to be and do better.</p><p>Link to my original post, his response, and mine, attached. </p><p><a href="https://social.raytec.co/@mike/109861193222197868" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">social.raytec.co/@mike/1098611</span><span class="invisible">93222197868</span></a></p>
Mike | Raymond Tec<p>I've now sent two messages on the hell site to <span class="h-card"><a href="https://infosec.exchange/@danielmiessler" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>danielmiessler</span></a></span> to find out why he's sharing anti-trans propaganda from unverified sources in his weekly newsletter.</p><p>Original post here: <a href="https://social.raytec.co/@mike/109861193222197868" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">social.raytec.co/@mike/1098611</span><span class="invisible">93222197868</span></a></p><p><a href="https://social.raytec.co/tags/UnsupervisedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnsupervisedLearning</span></a> <a href="https://social.raytec.co/tags/AntiTrans" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AntiTrans</span></a></p>
Mike | Raymond Tec<p>I was reading today's <a href="https://social.raytec.co/tags/UnsupervisedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnsupervisedLearning</span></a> from <span class="h-card"><a href="https://infosec.exchange/@danielmiessler" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>danielmiessler</span></a></span> today and I have to ask: why did it include a link to a right leaning news article with no sources or data?</p><p>This particular article is the original source of the Jamie Reed anti-trans debacle currently going on in Missouri.</p><p>I'm really disappointed that something this unfounded (the author offers no proof for her claims) is being shared through a newsletter I used to enjoy.</p><p>The trash: <a href="https://www.thefp.com/p/i-thought-i-was-saving-trans-kids" rel="nofollow noopener" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">thefp.com/p/i-thought-i-was-sa</span><span class="invisible">ving-trans-kids</span></a></p><p>1/n</p>
René Mayrhofer :verified: 🇺🇦ChatGPT and other LLMs (long)
Dominic Boutet<p><a href="https://neuromatch.social/tags/arxivfeed" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>arxivfeed</span></a> :</p><p>"Seeking the Truth Beyond the Data. An Unsupervised Machine Learning Approach"<br><a href="https://arxiv.org/abs/2207.06949" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2207.06949</span><span class="invisible"></span></a></p><p><a href="https://neuromatch.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://neuromatch.social/tags/UnsupervisedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnsupervisedLearning</span></a> <a href="https://neuromatch.social/tags/Clustering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Clustering</span></a></p>
Hackernoon<p>Referenced link: <a href="https://hackernoon.com/ai-adoption-what-you-need-to-know-about-anomaly-detection-and-unsupervised-learning" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackernoon.com/ai-adoption-wha</span><span class="invisible">t-you-need-to-know-about-anomaly-detection-and-unsupervised-learning</span></a><br>Discuss on <a href="https://discu.eu/q/https://hackernoon.com/ai-adoption-what-you-need-to-know-about-anomaly-detection-and-unsupervised-learning" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">discu.eu/q/https://hackernoon.</span><span class="invisible">com/ai-adoption-what-you-need-to-know-about-anomaly-detection-and-unsupervised-learning</span></a></p><p>Originally posted by HackerNoon | Learn Any Technology / @hackernoon@twitter.com: <a href="https://twitter.com/hackernoon/status/1603208253407694853#m" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">twitter.com/hackernoon/status/</span><span class="invisible">1603208253407694853#m</span></a></p><p>I'm going to talk about a couple of ways which organizations and companies can use in order to adopt AI more easily. - <a href="https://hackernoon.com/ai-adoption-what-you-need-to-know-about-anomaly-detection-and-unsupervised-learning" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackernoon.com/ai-adoption-wha</span><span class="invisible">t-you-need-to-know-about-anomaly-detection-and-unsupervised-learning</span></a> <a href="https://social.platypush.tech/tags/aiadoption" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>aiadoption</span></a> <a href="https://social.platypush.tech/tags/unsupervisedlearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>unsupervisedlearning</span></a></p>
Dominic Boutet<p><a href="https://neuromatch.social/tags/arxivfeed" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>arxivfeed</span></a> :</p><p>"Biologically plausible unsupervised learning in neural networks with sparse and asymmetric connectivity"<br><a href="https://www.biorxiv.org/content/10.1101/2022.11.30.518534v1" rel="nofollow noopener" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">biorxiv.org/content/10.1101/20</span><span class="invisible">22.11.30.518534v1</span></a></p><p><a href="https://neuromatch.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://neuromatch.social/tags/UnsupervisedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnsupervisedLearning</span></a> <a href="https://neuromatch.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://neuromatch.social/tags/NeuroAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroAI</span></a> <a href="https://neuromatch.social/tags/BoltzmannMachines" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BoltzmannMachines</span></a></p>
Dominic Boutet<p><a href="https://neuromatch.social/tags/arxivfeed" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>arxivfeed</span></a> :</p><p>"A biology-inspired recurrent oscillator network for computations in high-dimensional state space"<br><a href="https://www.biorxiv.org/content/10.1101/2022.11.29.518360v1" rel="nofollow noopener" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">biorxiv.org/content/10.1101/20</span><span class="invisible">22.11.29.518360v1</span></a></p><p><a href="https://neuromatch.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://neuromatch.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepLearning</span></a> <a href="https://neuromatch.social/tags/RecurrentNeuralNetwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RecurrentNeuralNetwork</span></a> <a href="https://neuromatch.social/tags/NeuroAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroAI</span></a> <a href="https://neuromatch.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroscience</span></a> <a href="https://neuromatch.social/tags/DynamicalSystems" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DynamicalSystems</span></a> <a href="https://neuromatch.social/tags/UnsupervisedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnsupervisedLearning</span></a> <a href="https://neuromatch.social/tags/HebbainLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HebbainLearning</span></a></p>
Dominic Boutet<p><a href="https://mastodon.online/tags/arxivfeed" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>arxivfeed</span></a> :</p><p>"Asymptotics for The k-means"<br><a href="https://arxiv.org/abs/2211.10015" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2211.10015</span><span class="invisible"></span></a></p><p><a href="https://mastodon.online/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.online/tags/UnsupervisedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnsupervisedLearning</span></a> <a href="https://mastodon.online/tags/kMeans" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>kMeans</span></a> <a href="https://mastodon.online/tags/Clustering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Clustering</span></a></p>
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