Episode 38: Ho, Ho, Holiday Statistics Projects

In this episode, I marched through machine learning abstractions, brought home the BQN, discovered statistics projects to work on over Christmas, and found the Gosling that lays the golden egg, References: Quantifying uncertainty of machine learning methods for loss given default Evaluating the performance of memory type logarithmic estimators using simple random sampling A fast kernel independence test for cluster-correlated data Autoencoders for sample size estimation for fully connected neural network classifiers [R-pkgs] onetime 0.1.0: Run Code Only Once 🚧 WIP 🚧 From Julia to BQN Using SAS to score a test Using the cspade action to find frequent gene sequences The easygoing relationship between computer scientists and null hypothesis significance testing Top 11+ Coding Projects for Beginners (2023 Edition) Gosling: Interactive Genomics Charts in R Shiny Gosling Main Page R-packages: POMS:  Phylogenetic Organization of Metagenomic Signals macroBiome: A Tool for Mapping the Distribution of the Biomes and Bioclimate reservr: Fit Distributions and Neural Networks to Censored and Truncated Data NPCox: Nonparametric and Semiparametric Proportional Hazards Model