Archive for October, 2025

Secondary_appt Department-cs CS Talk – Petr Knoth, Knowledge Media Institute/October 13 @ 11 a.m./DL 316

October 12, 2025

How Churners Earn Money By Regularly Signing Up for Credit Cards – The New York Times

October 12, 2025

https://www.nytimes.com/2025/10/11/business/credit-cards-churners.html

Source: New York Post

October 11, 2025

https://nypost.com/2025/10/09/real-estate/villa-charlotte-bronte-is-seeing-a-flurry-of-listings/

Salting Eggplant – Kitchen Wisdom – Martha Stewart – YouTube

October 11, 2025

https://www.youtube.com/watch?v=ZxkOY034xmA&t=1s

osmosis

Nobel Prize in Physiology or Medicine Is Awarded for Work on Immune Systems – The New York Times

October 7, 2025

https://www.nytimes.com/2025/10/06/health/nobel-prize-medicine-physiology.html

Nobel Prize in Physics Is Awarded for Work in Quantum Mechanics – The New York Times

October 7, 2025

https://www.nytimes.com/2025/10/07/science/nobel-prize-physics.html

John Clarke, Michel H. Devoret and John M. Martinis were recognized for work that made behaviors of the subatomic realm observable at a larger scale.

Likelihood function – Wikipedia

October 7, 2025

https://en.wikipedia.org/wiki/Likelihood_function

QT:{{"In other words, when {\textstyle f(x\mid \theta )} is viewed as a function of {\textstyle x} with {\textstyle \theta } fixed, it is a probability density function, and when viewed as a function of {\textstyle \theta } with {\textstyle x} fixed, it is a likelihood function.
"}}

Understanding MLE & OLS: Beginner’s Concepts | by Vinit Vaibhav | Medium

October 5, 2025

https://medium.com/@vinitvaibhav9/mle-ols-notes-from-a-beginner-a9ca2f6ae5bd

A Gentle Introduction to Linear Regression With Maximum Likelihood Estimation – MachineLearningMastery.com

October 5, 2025

https://machinelearningmastery.com/linear-regression-with-maximum-likelihood-estimation/

Intuitively Understand Maximum Likelihood | by Ahmar Shah, PhD (Oxford) | TDS Archive | Medium

October 5, 2025

https://medium.com/data-science/intuitively-understand-maximum-likelihood-121893bea5d0