Mastodawn

Build Your Own Timeline Algorithm (byota)
"Timeline algorithms should be useful for people, not for companies. Their quality should not be evaluated in terms of how much more time people spend on a platform, but rather in terms of how well they serve their users’ purposes. Objectives might differ, from delving deeper into a topic to connecting with like-minded communities, solving a problem or just passing time until the bus arrives. How these objectives are reached might differ too, e.g. while respecting instances’ bandwidth, one’s own as well as others’ privacy, algorithm trustworthiness and software licenses.
This blueprint introduces an approach to personal, local timeline algorithms that people can either run out-of-the-box or customize."

GitHub - mozilla-ai/byota: Blueprint to Build Your Own Timeline Algorithm

Blueprint to Build Your Own Timeline Algorithm. Contribute to mozilla-ai/byota development by creating an account on GitHub.

GitHub

Habr 7h ago

[Перевод] React Reconciliation: скрытый механизм, управляющий компонентами

❯ Механизм согласования В моих предыдущих статьях ( 1 , 2 ) я подробно рассматривал, как работает React.memo , а также делился более эффективными подходами к оптимизации производительности с помощью компоновки. Однако для глубокого понимания работы React необходимо разобраться в основном механизме, лежащем в основе всех этих оптимизаций – алгоритме согласования (reconciliation). Согласование – это процесс, в результате которого React приводит DOM в соответствие с деревом компонентов. Именно этот механизм позволяет реализовать декларативный подход к программированию на React: вы формулируете свои намерения, а React самостоятельно определяет, как выполнить эти намерения наилучшим образом и с наименьшими затратами.

https://habr.com/ru/companies/timeweb/articles/901212/

#timeweb_статьи_перевод #javascript #reactjs #reactjs #react #reconcilation #согласование #algorithm #алгоритм

React Reconciliation: скрытый механизм, управляющий компонентами

Хабр

Tanguy ⧓ Herrmann 7h ago

Everybody knows A Star is Born from 1937, 1954, 1976 and lately 2018.

But in reality, A Star is born in 1968.

#algorithm #pun

Show thread

Open Risk 8h ago

Many ingredients are already here: there is a vast array of open source #python libraries that cover every imaginable #algorithm, from classic statistics to #machinelearning. And python is already a first class citizen in linux.

At the other end are end-user apps like the file manager, #libreoffice, sophisticated editors like #kate etc. that are already mature.

What is missing the orchestration of services, API's, UI's etc. that will effortlessly bring these superpowers to the average user.

Ben Royce 🇺🇦1d ago

😂 😂 😂

i apologize

this is the third #elleCordova video i've posted in a short time period

sorry, i'm tweaking off her brilliance

"the #algorithm thinks it knows me"

credit: https://www.youtube.com/@ElleCordova/shorts

Before you continue to YouTube

Piotr Nowak 2d ago

Designing an Efficient Tree Index on Disaggregated Memory

https://cacm.acm.org/research-highlights/designing-an-efficient-tree-index-on-disaggregated-memory/

#computing #datastructure #algorithm #software

Designing an Efficient Tree Index on Disaggregated Memory

Communications of the ACM

Show thread

Ben Royce 🇺🇦3d ago

@lukadjo @ApAlun @Crispius @fedilore @freeagent @vfrmedia

just an idea

(not an original one):

the problem with #algorithms on #centralized #socialMedia is that they can be manipulated

on the #fediverse why not have a menu of #openSource algorithms that anyone can write (audited so they are genuinely manipulation-free)?

people can freely choose one, and they can sink into their #algorithm stupor

if that's what they want

is there harm in that?

i'm not saying they *have* to do that

Alex Zap 4d ago

#python #AI #portfolio #optimization #algorithm
#technology #tech
#stock #risk #volatility
#finance #fintech #stockmarket

Quant Risk-Return Analysis, Portfolio Optimization and Profitable Algo-Trading Strategies of Top 5 AI Stocks

A Deep Dive into Popular Risk-Return Gauges of Quant Finance, MPT/Black-Litterman Portfolio Optimization and Hybrid Algo-Trading Strategies (with Backtesting) of Top 5 AI Stocks: PLTR, CRM, AMD, ANET, and NVDA

#exploremore 👇

https://medium.com/@alexzap922/quant-risk-return-analysis-portfolio-optimization-and-profitable-algo-trading-strategies-of-top-5-26fb2cdc1c23?sk=cbc7cd6afe281a02edac9952420ed1af

Quant Risk-Return Analysis, Portfolio Optimization and Profitable Algo-Trading Strategies of Top 5 AI Stocks

“It is difficult to think of a major industry that AI will not transform. This includes healthcare, education, transportation, retail, communications, and agriculture. There are surprisingly clear…

Medium