Log-normal Distribution - A simple explanation, by Maja Pavlovic

Cross-Entropy is All You Need… Or is It?, by Chady Dimachkie, Ntropy

A Comprehensive Guide on Model Calibration: What, When, and How, by Raj Sangani

Log-normal Distribution - A simple explanation, by Maja Pavlovic

How to add uncertainty to your neural network, by Alvaro Durán Tovar, Deep Learning made easy

How to add uncertainty to your neural network, by Alvaro Durán Tovar, Deep Learning made easy

Log-normal Distribution - A simple explanation, by Maja Pavlovic

Expected Calibration Error (ECE): A Step-by-Step Visual Explanation, by Maja Pavlovic

Uncertainty in the predictor variables, by Michael Larionov, PhD

Expected Calibration Error (ECE): A Step-by-Step Visual Explanation, by Maja Pavlovic

Chemical Aspect of Displacive-Type Ferroaxial Phase Transition from Perspective of Second-Order Jahn–Teller Effect: NASICON Systems as an Example

All stories published by Towards Data Science on February 16, 2022

The Paper: “A Deep Probabilistic Model for Customer Lifetime Value Prediction”, by Maja Pavlovic

Uncertainty in Deep Learning — Epistemic Uncertainty and Bayes by Backprop, by Kaan Bıçakcı

List: Stat basic, Curated by Asim Banskota

Maximum likelihood estimation for the regression parameters, by Utpal Kumar