🚀 Just published my last post on Semantic Kernel series on planners and kernel functions! Discover how Semantic Kernels can enhance model interpretability and performance. Enjoy #SemanticKernel #KernelFunctions #MachineLearning #DataScience yas.fyi/a93lhn

In Lecture 12, we cover #classification! I dovetail off Lec 11 and discuss #logisticregression; then #naivebayes and #SVM. Throughout, we cover key topics like #MLE, #MAP, & #kernelfunctions. What do you wish you learned about classifiation? #ML #CUDBMIMLHC #followme #comment👇

Luca Cosmo et al. propose in this work to extend the classic convolution operator to the graph domain by using #graphkernels, i.e. #kernelfunctions that compute inner product on graphs. This defines a complete structural model without having to compute the input graph's embedding

Time with fancy, science-kit for machine learning (#sklearn). Here's a neat exercise comparing ML model accuracy to classify & predict loan statuses based on a history file; imp visualizing variables (#K, #TreeDepth, & todo #KernelFunctions & #Regularizat…lnkd.in/er_92bi

#KernelFunctions #InfectiousDiseases Estimation of the dispersal distances of an aphid-borne virus in a patchy landscape plos.io/2InwnXR Pleydell et al.