Science Research Weekly

Episode 25: Machine Learning vs. Magic

Listen Later

In this episode, I found that Bambi (Bayesian Model Building Interface) is more than a little deer, rooted for the round-robin operator for genetic algorithms, and had my convictions that machine learning is not magic reinforced.

References:

  • HighFrequencyCovariance:  A Julia Package for Estimating Covariance Matrices Using High Frequency Financial Data
  • Bambi: A Simple Interface for Fitting Bayesian Linear Models in Python
  • Spbsampling: An R Package for Spatially Balanced Sampling
  • plot3logit: Ternary Plots for Interpreting Trinomial Regression Models
  • Learning Base R (2nd Edition)
  • Python and R for the Modern Data Scientist
  • Genetic algorithm with a new round-robin based tournament selection: Statistical properties analysis
  • Healthcare researchers must be wary of misusing AI
  • New method to identify symmetries in data using Bayesian statistics
  • Python 3.11.0rc2 is now available
  • Complex Layouts using the SG Procedures
  • Factor Analysis Guide with an Example
  • How to Choose Appropriate Clustering Method for Your Dataset
  • How to Apply AI to Small Data Sets?
  • The R Consortium Needs Your Help with satRdays
  • Visualizing OLS Linear Regression Assumptions in R

    • R-packages:

    • TPCselect:  Variable Selection via Threshold Partial Correlation
    • historicalborrow:  Non-Longitudinal Bayesian Historical Borrowing Models
    • historicalborrowlong:  Longitudinal Bayesian Historical Borrowing Models
    • kgp:  1000 Genomes Project Metadata
    • DBIsqldf:  Manipulate R Data Frames Using SQL
    • latentFactoR:  Data Simulation Based on Latent Factors
    • TSdeeplearning:  Deep Learning Model for Time Series Forecasting
      • ...more
      View all episodesView all episodes
      Download on the App Store
      Science Research WeeklyBy Mark R Williamson