Numbers and Code

Machine Learning, Data Science, Statistics
  • Blog
  • Learn
  • Books
  • Consulting
  • About
  • Disclaimer
  • Cookie Policy (EU)
  • Blog
  • Learn
  • Books
  • Consulting
  • About
  • Disclaimer
  • Cookie Policy (EU)

Numbers and Code

Machine Learning, Data Science, Statistics
  • Blog
  • Learn
  • Books
  • Consulting
  • About
  • Disclaimer
  • Cookie Policy (EU)

Recent Posts

  • Bayesian harmonic regression and a poor man’s spike-and-slab prior
  • Why probability and uncertainty should be an integral part of regression models (II)
  • Why probability and uncertainty should be an integral part of regression models (I)
  • Some interesting observations with Distance Correlation coefficients
  • A brief, probabilistic demand forecast model

Other content

  • Learn
  • Books

Recent Comments

  • Sarem on Another simple time-series model – using Naive-Bayes for forecasting
  • Neeraj Manandhar on Another simple time-series model – using Naive-Bayes for forecasting
  • Sarem on Some interesting observations with Distance Correlation coefficients
  • Nichole on Some interesting observations with Distance Correlation coefficients
  • Sarem on Generalized Additive Neural Networks

Archives

  • December 2020
  • October 2020
  • June 2020
  • May 2020
  • December 2019
  • November 2019
  • February 2019
  • October 2018
  • September 2018
  • August 2018
  • July 2018
  • April 2018
  • March 2018

Categories

  • Algorithms
  • Applications
  • Bayesian Methods
  • Classification
  • Data Analysis
  • Decision Trees
  • Feature Selection
  • Forecasting
  • Gradient Boosting
  • Hilbert Spaces
  • Interpretable Machine Learning
  • Julia
  • Linear Model
  • Machine Learning
  • MARS
  • Naive Bayes
  • Neural Networks
  • Probability
  • Python
  • Random Forest
  • Regression
  • Statistics
  • Time Series
  • Uncategorized
  • Uncertainty
Developed by Think Up Themes Ltd. Powered by WordPress.