Tag: Demystifying

Demystifying Bayesian Model Fitting in Deep Learning

Introduction to Bayesian Inference Bayesian inference serves as the theoretical backbone of Bayesian Model Fitting, grounded in the concept of updating our beliefs in the light of new evidence. Central to this process is the prior distribution, p(θ???H), which encapsulates our initial ...

Zoomposium with Prof. Dr. Arieh Ben-Naim: ???Demystifying entropy???

In another installment of our “Zoomposium series” on the topic of “Physics and its limits”, my colleague Axel Stöcker from the “Blog of Big Questions” and I had the opportunity to conduct an interview with the renowned Israeli physical chemist Prof. Dr. ...

Zoomposium with Prof. Dr. Arieh Ben-Naim: ???Demystifying entropy???

In this context, he has also worked intensively on the question of the nature and underlying principle of the phenomenon of “#entropy”, which he has published in numerous popular science books that are often quoted but also controversially discussed. The basic tenor of all his pu...

Demystifying Bicycle Theft Cases In Toronto: Which Neighborhoods Should Get More Attention?

This study aims to figure out which neighborhoods in Toronto should get attention in terms of bicycle thefts, based on the list of reported bicycle theft cases published by the Toronto Police Service from 2014–2020. This study suggests that the Toronto Police Service should pay attention to 10...

Demystifying the Metaverse: The Future of Digital Connection

In the realm of the Metaverse, we each have our own unique vision, our ‘Aysverse,’ where we live out digital dreams. (So ‘Aysverse’ mine is {Ayse + verse}. Yours is special for you too ) What’s your dream in this digital frontier?  Today, I’d like to addre...

Demystifying Generative Art

1. Definitions (Those already familiar with Long Form Generative art may want to skip to chapter 2) What is generative art Strictly speaking the term Generative art refers to art created by utilizing the influence of an autonomous system. Typically this is a non-human system which will d...

First Step in Demystifying the Support Vector Machine (SVM): Learning and Implementing the Maximal Margin Classifier (MMC)

Suppose we have a binary classification problem and presumably the data is linearly separable, we can define an infinite number of hyperplanes that distinctively separates them. But, how do we pick the optimal hyperplane? A peregrine falcon resting on top a tree branch. Photo by Delaney ...

Demystifying Python Context Managers: A Comprehensive Guide

Python is a versatile and powerful programming language known for its readability and ease of use. One of its lesser-known yet extremely useful features is context managers. Context managers provide a way to manage resources, such as files, database connections, and network sockets, in a clean and e...