<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Desupervised Blog</title><description>Deep dives on Bayesian inference, probabilistic programming, optimization, and the practical side of shipping ML in production.</description><link>https://desupervised.io/</link><language>en-gb</language><item><title>Bayesian priors and Ridge regression</title><link>https://desupervised.io/blog/bayesian-priors-and-ridge-regression/</link><guid isPermaLink="true">https://desupervised.io/blog/bayesian-priors-and-ridge-regression/</guid><description>Showing the equivalence of Bayesian priors and Ridge regression</description><pubDate>Mon, 30 Sep 2024 00:00:00 GMT</pubDate><category>Bayesian Statistics</category><author>Dr. Michael Green</author></item><item><title>Choose your optimization algorithm carefully</title><link>https://desupervised.io/blog/choose-your-optimization-algorithm-carefully/</link><guid isPermaLink="true">https://desupervised.io/blog/choose-your-optimization-algorithm-carefully/</guid><description>How does the choice of optimization result impact how long time it takes to find the correct solution</description><pubDate>Mon, 30 Sep 2024 00:00:00 GMT</pubDate><category>Bayesian Statistics</category><author>Dr. Michael Green</author></item><item><title>Confidence intervals - Not what you think</title><link>https://desupervised.io/blog/confidence-intervals-not-what-you-think/</link><guid isPermaLink="true">https://desupervised.io/blog/confidence-intervals-not-what-you-think/</guid><description>Confidence intervals actually says nothing at all about the probability of the value being in the interval</description><pubDate>Mon, 30 Sep 2024 00:00:00 GMT</pubDate><category>Bayesian Statistics</category><author>Dr. Michael Green</author></item><item><title>Dangerous Flaws in Computer Vision</title><link>https://desupervised.io/blog/dangerous-flaws-in-computer-vision/</link><guid isPermaLink="true">https://desupervised.io/blog/dangerous-flaws-in-computer-vision/</guid><description>Dangerous flaws in computer vision and how to fix them using proper uncertainty estimation</description><pubDate>Mon, 30 Sep 2024 00:00:00 GMT</pubDate><category>Computer Vision</category><author>Johan Gudmundsson</author></item><item><title>Deep Evidential Modeling</title><link>https://desupervised.io/blog/deep-evidential-modeling/</link><guid isPermaLink="true">https://desupervised.io/blog/deep-evidential-modeling/</guid><description>Deep Evidential Modeling for safe, robust and accurate machine learning applications</description><pubDate>Mon, 30 Sep 2024 00:00:00 GMT</pubDate><category>Bayesian Statistics</category><author>Dr. Michael Green</author></item><item><title>Identifiability and granularity for time series models</title><link>https://desupervised.io/blog/identifiability-and-granularity-for-time-series-models/</link><guid isPermaLink="true">https://desupervised.io/blog/identifiability-and-granularity-for-time-series-models/</guid><description>Is it better to aggregate sparse data or does the granularity add value</description><pubDate>Mon, 30 Sep 2024 00:00:00 GMT</pubDate><category>Bayesian Statistics</category><author>Dr. Michael Green</author></item><item><title>Impact of bimodality in regression problems</title><link>https://desupervised.io/blog/impact-of-bimodality-in-regression-problems/</link><guid isPermaLink="true">https://desupervised.io/blog/impact-of-bimodality-in-regression-problems/</guid><description>A few thoughts on apparent bimodality for regression problems!</description><pubDate>Mon, 30 Sep 2024 00:00:00 GMT</pubDate><category>Bayesian Statistics</category><author>Dr. Michael Green</author></item><item><title>Launching the ComNav</title><link>https://desupervised.io/blog/launching-the-comnav/</link><guid isPermaLink="true">https://desupervised.io/blog/launching-the-comnav/</guid><description>Why we are launching ComNav, a holistic business measurement &amp; optimization platform</description><pubDate>Mon, 30 Sep 2024 00:00:00 GMT</pubDate><category>Drug Discovery</category><author>Dr. Michael Green</author></item><item><title>Quali-Drone. Intelligent, autonomous drone inspection of large structures within the energy industry</title><link>https://desupervised.io/blog/qualidrone-drone-inspection-grant/</link><guid isPermaLink="true">https://desupervised.io/blog/qualidrone-drone-inspection-grant/</guid><description>The project develops a drone inspection solution and digital documentation that recognize and categorize surface errors and measure parts of industrial structures with high precision.</description><pubDate>Mon, 30 Sep 2024 00:00:00 GMT</pubDate><category>Computer Vision</category><author>Johan Gudmundsson</author></item><item><title>Borch: A Deep Universal Probabilistic Programming Language</title><link>https://desupervised.io/blog/releasing-borch/</link><guid isPermaLink="true">https://desupervised.io/blog/releasing-borch/</guid><description>Borch: a scalable deep universal probabilistic programming language, built on top of PyTorch.</description><pubDate>Mon, 30 Sep 2024 00:00:00 GMT</pubDate><category>Bayesian Statistics</category><author>Johan Gudmundsson</author></item><item><title>RIMA grant win together with Robotize3d</title><link>https://desupervised.io/blog/rima-grant-win-together-with-robotize3d/</link><guid isPermaLink="true">https://desupervised.io/blog/rima-grant-win-together-with-robotize3d/</guid><description>Desupervised and Robotiz3d recently won an award from Horizon Europe’s RIMA (Robotics Inspection and Maintenance Activities) initiative</description><pubDate>Mon, 30 Sep 2024 00:00:00 GMT</pubDate><category>News</category><author>Johan Gudmundsson</author></item><item><title>Robotiz3d: Autonomous Road Maintenance</title><link>https://desupervised.io/blog/robotiz3d-autonomous-road-maintenance-announcement/</link><guid isPermaLink="true">https://desupervised.io/blog/robotiz3d-autonomous-road-maintenance-announcement/</guid><description>Autonomous robots with artificial intelligence identifying and repairing cracks and potholes.</description><pubDate>Mon, 30 Sep 2024 00:00:00 GMT</pubDate><category>News</category><author>Johan Gudmundsson</author></item><item><title>Safe AI in medical imaging</title><link>https://desupervised.io/blog/safe-ai-in-medical-imaging/</link><guid isPermaLink="true">https://desupervised.io/blog/safe-ai-in-medical-imaging/</guid><description>Why proper uncertainty estimation is a need to have in medical Imaging</description><pubDate>Mon, 30 Sep 2024 00:00:00 GMT</pubDate><category>Healthcare AI</category><author>Johan Gudmundsson</author></item><item><title>The apparent success of the maximum likelihood principle</title><link>https://desupervised.io/blog/the-apparent-success-of-the-maximum-likelihood-principle/</link><guid isPermaLink="true">https://desupervised.io/blog/the-apparent-success-of-the-maximum-likelihood-principle/</guid><description>The maximum likelihood principle is modeling without assumptions, and there is no such thing. The assumption of no assumption is a flawed assumption.</description><pubDate>Mon, 30 Sep 2024 00:00:00 GMT</pubDate><category>Bayesian Statistics</category><author>Dr. Michael Green</author></item><item><title>The importance of context</title><link>https://desupervised.io/blog/the-importance-of-context/</link><guid isPermaLink="true">https://desupervised.io/blog/the-importance-of-context/</guid><description>The importance of context when building models</description><pubDate>Mon, 30 Sep 2024 00:00:00 GMT</pubDate><category>Bayesian Statistics</category><author>Dr. Michael Green</author></item><item><title>The insignificance of significance</title><link>https://desupervised.io/blog/the-insignificance-of-significance/</link><guid isPermaLink="true">https://desupervised.io/blog/the-insignificance-of-significance/</guid><description>Statistical significance has always held a slightly magical status in the research community, this is misguided ans should be stopped</description><pubDate>Mon, 30 Sep 2024 00:00:00 GMT</pubDate><category>Bayesian Statistics</category><author>Dr. Michael Green</author></item><item><title>The truth about priors and overfiting</title><link>https://desupervised.io/blog/the-truth-about-priors-and-overfitting/</link><guid isPermaLink="true">https://desupervised.io/blog/the-truth-about-priors-and-overfitting/</guid><description>Learn about the effect of week and strong priors and how it effects overfitting</description><pubDate>Mon, 30 Sep 2024 00:00:00 GMT</pubDate><category>Bayesian Statistics</category><author>Dr. Michael Green</author></item><item><title>Top 3 reasons why you should consider an external AI team</title><link>https://desupervised.io/blog/top-3-reasons-why-you-should-consider-an-external-ai-team/</link><guid isPermaLink="true">https://desupervised.io/blog/top-3-reasons-why-you-should-consider-an-external-ai-team/</guid><description>Artificial intelligence (AI) has rapidly become one of the most transformative technologies of the 21st century. Learn why you should consider an external AI team to accelerate your adaptation</description><pubDate>Mon, 30 Sep 2024 00:00:00 GMT</pubDate><category>Applied ML</category><author>Dr. Michael Green</author></item><item><title>What does the prior actually do in a Bayesian analysis?</title><link>https://desupervised.io/blog/what-does-the-prior-actually-do-in-bayesian-analysis/</link><guid isPermaLink="true">https://desupervised.io/blog/what-does-the-prior-actually-do-in-bayesian-analysis/</guid><description>How the prior and posterior effects the likelihood in Bayesian inference, and why setting the correct priors are important.</description><pubDate>Mon, 30 Sep 2024 00:00:00 GMT</pubDate><category>Bayesian Statistics</category><author>Dr. Michael Green</author></item><item><title>On the long term effects of marketing and brand models</title><link>https://desupervised.io/blog/on-the-long-term-effects-of-marketing-and-brand-models/</link><guid isPermaLink="true">https://desupervised.io/blog/on-the-long-term-effects-of-marketing-and-brand-models/</guid><description>Understand the how marketing impact brand awareness</description><pubDate>Thu, 11 May 2023 00:00:00 GMT</pubDate><category>Marketing Mix Modeling</category><author>Dr. Michael Green</author></item><item><title>Holistic Business Modeling Supersedes Business Science Models</title><link>https://desupervised.io/blog/holistic-business-modeling-supersedes-business-science-models/</link><guid isPermaLink="true">https://desupervised.io/blog/holistic-business-modeling-supersedes-business-science-models/</guid><description>Maximizing Growth and Profitability: How Holistic Business Modeling and Optimization Can Transform Your Business</description><pubDate>Thu, 27 Apr 2023 00:00:00 GMT</pubDate><category>Marketing Mix Modeling</category><author>Dr. Michael Green</author></item><item><title>Include domain knowledge in the structure of Business Science Models</title><link>https://desupervised.io/blog/include-domain-knowledge-in-business-science-models/</link><guid isPermaLink="true">https://desupervised.io/blog/include-domain-knowledge-in-business-science-models/</guid><description>How to combine high-level and low-level domain knowledge for Business Science Models</description><pubDate>Thu, 27 Apr 2023 00:00:00 GMT</pubDate><category>Applied ML</category><author>Johan Gudmundsson</author></item><item><title>Learn how to model business dynamics correctly</title><link>https://desupervised.io/blog/model-business-dynamics-correctly/</link><guid isPermaLink="true">https://desupervised.io/blog/model-business-dynamics-correctly/</guid><description>How to boost business insights and business Intelligence with Artificial intelligence using models that actually understand the dynamics of the business.</description><pubDate>Thu, 27 Apr 2023 00:00:00 GMT</pubDate><category>Marketing Mix Modeling</category><author>Johan Gudmundsson</author></item><item><title>NPS: On the importance of customer experience for insurance companies</title><link>https://desupervised.io/blog/nps-the-importance-of-customer-experience-for-insurance-companies/</link><guid isPermaLink="true">https://desupervised.io/blog/nps-the-importance-of-customer-experience-for-insurance-companies/</guid><description>Customer experience refers to the overall perception of a customer’s interactions with a company. It includes elements such as the ease of use of a company’s products or services, the quality of customer service, and the overall feeling of satisfaction a customer has with the company.</description><pubDate>Thu, 27 Apr 2023 00:00:00 GMT</pubDate><category>Customer Experience</category><author>Dr. Michael Green</author></item><item><title>On the fallacy of A/B testing</title><link>https://desupervised.io/blog/on-the-fallacy-of-ab-testing/</link><guid isPermaLink="true">https://desupervised.io/blog/on-the-fallacy-of-ab-testing/</guid><description>A/B testing is a commonly used method for determining the effectiveness of different variations of a product or marketing campaign. However, despite its widespread use, A/B testing has several limitations that make it a flawed methodology, particularly when compared to bespoke machine learning models.</description><pubDate>Thu, 27 Apr 2023 00:00:00 GMT</pubDate><category>Bayesian Statistics</category><author>Dr. Michael Green</author></item><item><title>The ROI of Investing in Customer Experience - A Compressive Guide for Business Leaders</title><link>https://desupervised.io/blog/the-roi-of-investing-in-customer-experience/</link><guid isPermaLink="true">https://desupervised.io/blog/the-roi-of-investing-in-customer-experience/</guid><description>Looking to invest in customer experience initiatives but unsure of the ROI? Our comprehensive guide provides practical insights and tips to help you measure the impact</description><pubDate>Thu, 27 Apr 2023 00:00:00 GMT</pubDate><category>Applied ML</category><author>Johan Gudmundsson</author></item><item><title>What is Net Promoter Score(NPS)?</title><link>https://desupervised.io/blog/what-is-net-promoter-score/</link><guid isPermaLink="true">https://desupervised.io/blog/what-is-net-promoter-score/</guid><description>Learn what Net Promoter Score(NPS) is and how it can be used</description><pubDate>Thu, 27 Apr 2023 00:00:00 GMT</pubDate><category>Customer Experience</category><author>Johan Gudmundsson</author></item><item><title>What is the Voice of the Customer(VOC)?</title><link>https://desupervised.io/blog/what-is-voice-of-the-customer/</link><guid isPermaLink="true">https://desupervised.io/blog/what-is-voice-of-the-customer/</guid><description>The term &quot;Voice of the Customer&quot; (VoC) refers to feedback from customers that provides insight into their expectations and actual experiences.</description><pubDate>Thu, 27 Apr 2023 00:00:00 GMT</pubDate><category>Customer Experience</category><author>Johan Gudmundsson</author></item><item><title>Top 3 reasons why the ROI on your CX investments is hard to measure and prove</title><link>https://desupervised.io/blog/why-the-roi-on-cx-investments-is-hard-to-measure/</link><guid isPermaLink="true">https://desupervised.io/blog/why-the-roi-on-cx-investments-is-hard-to-measure/</guid><description>or CX investments, whose primary output is typically measured in Net Promoter Score (NPS) this presents a challenge to measure the ROI</description><pubDate>Thu, 27 Apr 2023 00:00:00 GMT</pubDate><category>Customer Experience</category><author>Dr. Michael Green</author></item><item><title>Drug Discovery using Equivariant Graph Neural Networks</title><link>https://desupervised.io/blog/drug-discovery-using-equivariant-graph-neural-networks/</link><guid isPermaLink="true">https://desupervised.io/blog/drug-discovery-using-equivariant-graph-neural-networks/</guid><description>Equivariant Graph Neural Networks that predict protein binding sites blindly, plus ligand pose and orientation, benchmarked against Qvina-W in early AIChemy work.</description><pubDate>Mon, 12 Sep 2022 00:00:00 GMT</pubDate><category>Drug Discovery</category><author>Dr. Michael Green</author></item><item><title>Desupervised &amp; RG Discovery Receive Eurostars Grant</title><link>https://desupervised.io/blog/desupervised-and-red-glead-discovery-receive-eurostars-grant/</link><guid isPermaLink="true">https://desupervised.io/blog/desupervised-and-red-glead-discovery-receive-eurostars-grant/</guid><description>Desupervised and RG Discovery have partnered to develop AI-powered drug discovery tools, supported by a Eurostars R&amp;D grant.</description><pubDate>Tue, 22 Feb 2022 00:00:00 GMT</pubDate><category>Drug Discovery</category><author>Dr. Michael Green</author></item></channel></rss>