Gabi Dobocanblog.telepat.io·Nov 20, 2024Getting To Know GECo: Breaking Down Graph Neural Networks with a New Explainability ToolGraph Neural Networks (GNNs) have been making waves in data science, helping us pick apart complex data that’s connected in intricate ways. Think social networks or molecular structures—places where relationships matter as much as the data points the...Discusscommunity detection
Niladri Dasniladridas.hashnode.dev·Aug 16, 2024The Future of Artificial Intelligence: A Multi-Agent PerspectiveIntroduction Artificial intelligence (AI) has come a long way since its inception in the 1950s. From simple rule-based systems to complex machine learning algorithms, AI has evolved to become an integral part of our daily lives. However, as AI contin...DiscussMulti-Agent Systems (MAS)
Mohsen Davarynejadfor∇ The Gradientthegradient.io·Jan 21, 2024Overfitting in ML modelsOverfitting happens when a model is more complex than it should be and starts to fit the noise in the data (or some degree of that) instead of the underlying pattern. Overfitting leads to poor model performance on new and unseen data. While there is ...Discuss·31 likes·57 readsPiML
DataChefforDataChef's Blogblog.datachef.co·Feb 7, 2022Assessing Pre-training Bias with AWS SageMaker ClarifyIntroduction In the previous article, we discussed why explaining machine learning (ML) models is as important as their performance and how it benefits all the stakeholders. Now, we are going to see what explainability and fairness of ML models requi...Discuss·396 readsBias detection
DataChefforDataChef's Blogblog.datachef.co·Nov 3, 2021Why Bother Explaining a Black-Box Model?Introduction In recent years, the availability of large volumes of data and computational resources, combined with the optimization technology, has caused deep learning models to succeed in numerous representation learning and decision-making problem...Discuss·670 readsArtificial Intelligence
