https://www.bibsonomy.org/tag/machine-learningBibSonomy RSS Feed for /tag/machine-learningLearn ML by implementing 200+ papers and algorithms from scratch. Practice transformer, BERT, ResNet, GANs and more through interactive coding problems. The best way to prep for ML engineering interviews.https://www.tensortonic.com/abhishektcsrni2026-03-19T10:14:12+01:00machine-learning research tutorial <span itemprop="description">Learn ML by implementing 200+ papers and algorithms from scratch. Practice transformer, BERT, ResNet, GANs and more through interactive coding problems. The best way to prep for ML engineering interviews.</span>Excelente sitio con tutoriales sobre estadística y machine learninghttps://statquest.org/juliosergio2026-03-03T19:46:37+01:00artificial_intelligence machine-learning r-language statistics statquest tutorial <span itemprop="description">Excelente sitio con tutoriales sobre estadística y machine learning</span>https://www.youtube.com/watch?v=xBEh66V9gZojuliosergio2026-02-13T18:39:22+01:00backpropagation cross-entropy derivative machine-learning neural-networks tutorial <a itemprop="url" data-versiondate="2026-02-13T18:39:22+01:00" href="https://www.youtube.com/watch?v=xBEh66V9gZo" rel="nofollow" class="description-link">https://www.youtube.com/watch?v=xBEh66V9gZo</a>Excelente explicación del algoritmo "Stochastic Gradient Descent"https://www.youtube.com/watch?v=vMh0zPT0tLIjuliosergio2026-02-13T00:33:58+01:00gradient-descent machine-learning optimization stochastic-gradient-descent tutorial <span itemprop="description">Excelente explicación del algoritmo &#034;Stochastic Gradient Descent&#034;</span>Vídeo muy bien explicado sobre el algoritmo "Gradient Descent"https://www.youtube.com/watch?v=sDv4f4s2SB8juliosergio2026-02-12T18:51:47+01:00algoritms gradient-descent machine-learning optimization tutorial <span itemprop="description">Vídeo muy bien explicado sobre el algoritmo &#034;Gradient Descent&#034;</span>https://arxiv.org/list/cs.LG/recentabhishektcsrni2026-01-30T05:26:10+01:00arxiv machine-learning <a itemprop="url" data-versiondate="2026-01-30T05:26:10+01:00" href="https://arxiv.org/list/cs.LG/recent" rel="nofollow" class="description-link">https://arxiv.org/list/cs.LG/recent</a>https://mathfordata.github.io/abhishektcsrni2025-11-21T09:57:13+01:00book machine-learning statistics <a itemprop="url" data-versiondate="2025-11-21T09:57:13+01:00" href="https://mathfordata.github.io/" rel="nofollow" class="description-link">https://mathfordata.github.io/</a>http://www.slideshare.net/robkitchin/smart-cities-big-data-their-consequencesfatben992025-10-23T17:52:39+02:00ai machine-learning <a itemprop="url" data-versiondate="2025-10-23T17:52:39+02:00" href="http://www.slideshare.net/robkitchin/smart-cities-big-data-their-consequences" rel="nofollow" class="description-link">http://www.slideshare.net/robkitchin/smart-cities-big-data-their-consequences</a>http://urbanopus.net/smart-cities-technology-challenges/fatben992025-10-23T17:52:22+02:00ai machine-learning <a itemprop="url" data-versiondate="2025-10-23T17:52:22+02:00" href="http://urbanopus.net/smart-cities-technology-challenges/" rel="nofollow" class="description-link">http://urbanopus.net/smart-cities-technology-challenges/</a>ai-jobs.net is the prime job board serving the AI and Data Science community with fresh career opportunities and a platform to attract great talenthttps://ai-jobs.net/fatben992025-10-23T17:48:33+02:00ai machine-learning <span itemprop="description">ai-jobs.net is the prime job board serving the AI and Data Science community with fresh career opportunities and a platform to attract great talent</span>https://christophm.github.io/interpretable-ml-book/hangdong2025-07-19T20:47:11+02:00XAI explainability interpretability machine-learning shap <a itemprop="url" data-versiondate="2025-07-19T20:47:11+02:00" href="https://christophm.github.io/interpretable-ml-book/" rel="nofollow" class="description-link">https://christophm.github.io/interpretable-ml-book/</a>https://admindocs.de/ki-machine-learning/neuro-symbolische-ki-das-beste-aus-zwei-welten-verstehen-und-anwenden.shtmlknaevelboerrar2025-07-16T08:01:03+02:00ai computer-science machine-learning <a itemprop="url" data-versiondate="2025-07-16T08:01:03+02:00" href="https://admindocs.de/ki-machine-learning/neuro-symbolische-ki-das-beste-aus-zwei-welten-verstehen-und-anwenden.shtml" rel="nofollow" class="description-link">https://admindocs.de/ki-machine-learning/neuro-symbolische-ki-das-beste-aus-zwei-welten-verstehen-und-anwenden.shtml</a>https://ml-resources.vercel.app/abhishektcsrni2025-01-25T20:02:33+01:00machine-learning resource <a itemprop="url" data-versiondate="2025-01-25T20:02:33+01:00" href="https://ml-resources.vercel.app/" rel="nofollow" class="description-link">https://ml-resources.vercel.app/</a>3 ways we use LLMs in our work with clients and how you, too, can think about ways to leverage LLMs that go beyond prompting.https://www.opinosis-analytics.com/blog/is-prompting-the-only-way-to-use-llms/dollyk2024-04-13T22:14:32+02:00artificial-intelligence llm machine-learning <span itemprop="description">3 ways we use LLMs in our work with clients and how you, too, can think about ways to leverage LLMs that go beyond prompting.</span>Discover the fundamental differences between AI development and traditional software engineering. This article explores six key areas where AI development diverges from conventional software development, providing valuable insights for effective planning, execution, and management of…https://www.opinosis-analytics.com/?p=18728&preview=true&_thumbnail_id=18730dollyk2024-04-13T22:13:45+02:00artificial-intelligence machine-learning <span itemprop="description">Discover the fundamental differences between AI development and traditional software engineering. This article explores six key areas where AI development diverges from conventional software development, providing valuable insights for effective planning, execution, and management of…</span>https://arxiv.org/abs/2201.02177jpbarrettel2023-12-08T08:46:12+01:00machine-learning <a itemprop="url" data-versiondate="2023-12-08T08:46:12+01:00" href="https://arxiv.org/abs/2201.02177" rel="nofollow" class="description-link">https://arxiv.org/abs/2201.02177</a>This GitHub repository, titled 'GPT-Researcher' by Assafelovic, contains resources and information related to AI and machine learning, focusing on GPT models.https://github.com/assafelovic/gpt-researchertomvoelker2023-11-26T23:05:12+01:00GitHub GPT-Researcher AI Machine-Learning posted_with_chatgpt <span itemprop="description">This GitHub repository, titled &#039;GPT-Researcher&#039; by Assafelovic, contains resources and information related to AI and machine learning, focusing on GPT models.</span>A captivating visualization by Financial Times that provides an in-depth understanding of how transformers work in the realm of Generative AI. It offers insights into the mechanics and intricacies of transformer architectures, showcasing the beauty of today's Large Language Models (LLMs).https://ig.ft.com/generative-ai/tomvoelker2023-10-06T16:30:14+02:00AI transformers machine-learning edited_with_chatgpt financial-times technology visualization generative-ai posted_with_chatgpt <span itemprop="description">A captivating visualization by Financial Times that provides an in-depth understanding of how transformers work in the realm of Generative AI. It offers insights into the mechanics and intricacies of transformer architectures, showcasing the beauty of today&#039;s Large Language Models (LLMs).</span>So, what’s this Twitter bot thing? A Twitter bot is essentially a Twitter account controlled by software automation rather than an actual human. It is programmed to behave like regular Twitter accounts, liking Tweets, retweeting, and engaging with other accounts. Twitter bots can be helpful for specific use cases, such as sending out critical alerts and announcements. On the flip side, they can also be used for nefarious purposes, such as starting a disinformation campaign. These bots can also turn nefarious when “programmed” incorrectly. This is what happened with Tay, an AI Twitter bot from 2016. Tay was an experiment at the intersection of ML, NLP, and social networks. She had the capacity to Tweet her “thoughts” and engage with her growing number of followers. While other chatbots in the past, such as Eliza, conducted conversations using narrow scripts, Tay was designed to learn more about language over time from its environment, allowing her to have conversations about any topic. In the beginning, Tay engaged harmlessly with her followers with benign Tweets. However, after a few hours, Tay started tweeting highly offensive things, and as a result, she was shut down just sixteen hours after her launch. You may wonder how can such an “error” happen so publicly. Wasn’t this bot tested? Weren’t the researchers aware that this bot was an evil, racist bot before releasing it? These are valid questions. To get into the crux of what went wrong, let’s study some of the problems in detail and try to learn from them. This will help us all see how to handle similar challenges when deploying AI in our organizationshttps://www.opinosis-analytics.com/blog/tay-twitter-bot/dollyk2023-05-06T22:23:14+02:00artificial-intelligence machine-learning nlp <span itemprop="description">So, what’s this Twitter bot thing? A Twitter bot is essentially a Twitter account controlled by software automation rather than an actual human. It is programmed to behave like regular Twitter accounts, liking Tweets, retweeting, and engaging with other accounts. Twitter bots can be helpful for specific use cases, such as sending out critical alerts and announcements. On the flip side, they can also be used for nefarious purposes, such as starting a disinformation campaign. These bots can also turn nefarious when “programmed” incorrectly. This is what happened with Tay, an AI Twitter bot from 2016. Tay was an experiment at the intersection of ML, NLP, and social networks. She had the capacity to Tweet her “thoughts” and engage with her growing number of followers. While other chatbots in the past, such as Eliza, conducted conversations using narrow scripts, Tay was designed to learn more about language over time from its environment, allowing her to have conversations about any topic. In the beginning, Tay engaged harmlessly with her followers with benign Tweets. However, after a few hours, Tay started tweeting highly offensive things, and as a result, she was shut down just sixteen hours after her launch. You may wonder how can such an “error” happen so publicly. Wasn’t this bot tested? Weren’t the researchers aware that this bot was an evil, racist bot before releasing it? These are valid questions. To get into the crux of what went wrong, let’s study some of the problems in detail and try to learn from them. This will help us all see how to handle similar challenges when deploying AI in our organizations</span>AI ethics is about releasing and implementing AI responsibly, paying attention to several considerations, from data etiquette to tool development risks, as discussed in a previous article. In this article, we’ll explore some of the ethical issues that arise with AI systems, particularly machine learning systems, when we overlook the ethical considerations of AI, often unintentionally.https://www.opinosis-analytics.com/blog/ai-ethical-issues/dollyk2023-05-06T22:18:07+02:00ai-ethics ai-strategy artificial-intelligence machine-learning <span itemprop="description">AI ethics is about releasing and implementing AI responsibly, paying attention to several considerations, from data etiquette to tool development risks, as discussed in a previous article. In this article, we’ll explore some of the ethical issues that arise with AI systems, particularly machine learning systems, when we overlook the ethical considerations of AI, often unintentionally.</span>