To the #Islamophobes out there:
Your modern existence is built on the Islamic Golden Age. No Al-Khwarizmi? No #algebra or #algorithms. No Ibn al-Haytham? No scientific method. No #Avicenna? No modern #medicine. While your ancestors fumbled in the Dark Ages, #Muslim minds preserved and advanced human knowledge, igniting your #Renaissance. You weaponize ignorance, but the debt is indelible. Your hatred cannot undo historical fact. Now sit down and read.
Bipartite matching is in NC!

Since I’m a good mood today—at a beautiful science camp with my kids, high in the mountains near Big Bear Lake in California—I thought I’d blog about something positive. Las…

Shtetl-Optimized

British Police Built a Sprawling Crime-Prediction Machine. Some Results Couldn’t Be Trusted

https://fed.brid.gy/r/https://www.wired.com/story/british-police-built-a-sprawling-crime-prediction-machine-some-results-couldnt-be-trusted/

A tip for users of our experimental instance mementomori.social:

You can enable the algorithmic "For you" feed from the top right corner of the Home feed. When you turn it on, it will instantly switch to a ranked feed that prioritizes posts based on who you follow, who you comment on, and what you like or boost. If you also toggle on "Include posts from people you don't follow," you'll see trending content across the Fediverse based on your interests.

Unlike Trending tab, For you -feed is personal. The logic is similar to pre-Musk Twitter but user-focused and not corporate-owned.

The Trending tab remains unchanged, and /explore shows posts from roughly the past 6-12 hours, with a strong focus on the most recent ones. A post that gets massive engagement might stick around a bit longer, but most cycle out within half a day. Your own For you page changes every time you click the menu, refresh the page, or return.

This is ongoing, experimental work. The PR draft and source code are available here: https://github.com/mementomori-social/mastodon/pull/4

#MementoMoriSocial #Mastodon #MastoAdmin #OpenSource #BuildInPublic #Algorithm #AlgorithmicFeed #Algorithms

Alright, future engineers!
**Recurrence Relation:** Defines a sequence where each term depends on previous terms.
Ex: Fibonacci: `F(n) = F(n-1) + F(n-2)`.
Pro-Tip: Crucial for analyzing algorithm efficiency & dynamic programming!
#DiscreteMath #Algorithms #STEM #StudyNotes
Greedy #algorithms can fail to find the optimal solution because they make local choices without considering future consequences, which may lead to suboptimal results in certain problems. This limitation is particularly evident in cases where a local optimum does not guarantee a global optimum

My dear friend Gramoz asked me to share the following job ad:

There are two fully funded PhD positions in Theory of Algorithms under Gramoz Goranci at University of Vienna. Interested candidates can apply here (https://shorturl.at/jKx80) - application deadline: June 29. For any questions about the positions, please contact Gramoz at [email protected].

#academicjobs #algorithms

2 University assistants predoctoral (group "Algorithms and Optimization")

2 University assistants predoctoral (group "Algorithms and Optimization")

15 sorting algorithms in 6 minutes (2013) [video]

https://www.youtube.com/watch?v=kPRA0W1kECg

#HackerNews #Tech #Algorithms

15 Sorting Algorithms in 6 Minutes

YouTube

#ITByte: Machine Learning algorithms are the programs that learn the hidden patterns from the data, predict the output, and improve the performance from experiences on their own.

Generally, #MachineLearning #Algorithms can be broadly classified into three categories - Supervised, Unsupervised and Reinforcement learning.

Here is a brief overview of Machine Learning Algorithms.

https://knowledgezone.co.in/learning/topics/ML-Algorithms;course=Machine-Learning