Science Research Weekly

Episode 38: Ho, Ho, Holiday Statistics Projects

Listen Later

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
      • ...more
      View all episodesView all episodes
      Download on the App Store
      Science Research WeeklyBy Mark R Williamson