PinnedJake HessionLiquid Neural Nets (LNNs)A deep dive into Liquid Neural Networks, one of the most exciting recent developments in time series forecastingFeb 66Feb 66
Jake HessionSupport Vector Machine in a NutshellSupport Vector Machines (SVMs) are a foundational regression/binary classification model and one of the most useful concepts in machine…Aug 2Aug 2
Jake HessionTopology Optimization and Diffusion ModelsExplore how diffusion models and GANs can aid engineering and product designMay 7May 7
Jake HessionDiscrete DistributionsDistributions are great for modeling sequences of events and determining the probability of a certain number of successes or a range of…Mar 61Mar 61
Jake HessionRecurrent Neural Networks and LSTMAn introduction RNNs and LSTMs, two of the most common and reliable neural net architecures for sequential tasks.Feb 191Feb 191
Jake HessionK-means ClusteringK-means clustering is a common machine learning approach that can help you draw new insights from dataFeb 9Feb 9
Jake HessionIntro to TinyMLA quick dive into TinyML; boldly going smaller in a field where scaling is all the rageJan 25Jan 25