Mary BoryslawskaUnraveling the Differences: Graph Neural Networks (GNNs) and Graph Convolutional Networks (GCNs)For evaluating and processing graph-structured data, two important approaches include graph convolutional networks (GCNs) and graph neural…Jun 25, 2023Jun 25, 2023
Mary BoryslawskaTransforming Energy Forecasting: Harnessing the Power of TransformersThe adoption of AI techniques into different sectors has been going through the biggest boom yet. That includes the challenges faced by the…May 26, 2023May 26, 2023
Mary BoryslawskaShapley Values in Machine LearningWhat does Game Theory have to do with Machine learning? What does Machine learning have to do with cocktails? As we’re about to find out…Apr 7, 2022Apr 7, 2022
Mary BoryslawskaML Strategy — what can make it successful? — part 1Why strategizing?Oct 29, 20211Oct 29, 20211
Mary Boryslawskat-SNE: data visualisation using t-distributed Stochastic Neighbour EmbeddingsOverviewAug 25, 20211Aug 25, 20211
Mary BoryslawskaDeep neural networks: How does regularisation prevent overfitting?What really is overfitting? Overfitting is a very dangerous game many of us have played. It means that you get a low training dataset error…Aug 5, 2021Aug 5, 2021
Mary BoryslawskaAre neural networks actually based on the brain?The fascination with neural networks began with humans’ interest in the brain structure.Jul 15, 2021Jul 15, 2021