#Forecasting

Rami Krispin :unverified:ramikrispin@mstdn.social
2025-12-15

Kicking off my new newsletter about #forecasting with an introduction to piecewise regression for modeling changes in the trend 👇🏼

theforecaster.substack.com/p/p

Code is available both in #Rstats and #Python

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Miguel Afonso Caetanoremixtures@tldr.nettime.org
2025-12-10

"This fall, CJR asked newsroom leaders, independent journalists, and international reporters how they see the media changing in the next twenty-five years. Their answers describe upheavals to come in both the business and practice of journalism.

The journalists we spoke to are not soothsayers; their eyes are trained to see the world as it is now. But clarity of vision in the present can tell us much about what’s to come. Some refrains came up again and again: the dominance of a few outlets and the demise of the rest; the need for journalists to mix seamlessly into online content; the risks and rewards of AI. Emma Tucker, the editor in chief of the Wall Street Journal, predicts that “big brands” such as the Journal and the New York Times will still be around in 2050. Not so much for CNN, ABC, CBS, and other news networks, says Ben Smith, the editor in chief of Semafor. According to David Remnick, the editor of The New Yorker, “X will be gone.” And Taylor Lorenz, the founder of User Mag, wonders whether journalism as we know it now will survive at all. (She hopes so.)

Some of the journalists we spoke to think the integration of AI into journalism is inevitable, or beneficial; Dave Jorgenson, a cofounder of a startup called Local News International, thinks that AI might make a smaller splash, more akin to the arrival of email. Everyone agrees that if it is to survive, journalism will need a human touch. In any case, Kara Swisher, the New York magazine contributor and podcaster, says, one thing’s for sure: by 2050, we’ll be blasted with information all the time from the multitude of screens floating in front of our faces. Which, actually, is not too far off from the present. These responses have been edited for length and clarity."

cjr.org/feature/visions-of-205

#Journalism #News #Media #Forecasting #Futurism #Futurology

Alex Zapalexzap
2025-12-05
Univariate Time Series Forecasting with MOGPTK
Uncertainty Estimation in Multi-Output Gaussian Processes (MOGP) with Variational Inference
Alexandre Dulaunoyadulau@infosec.exchange
2025-12-02

End-of-Year Threat Intelligence Sightings Forecast

This report presents an analysis of Threat Intelligence (TI) Sightings aggregated from several key data sources, including social platforms, code repositories, and specialized TI feeds. The primary objective is to visually track historical trends per source and provide a short-term adaptive forecast for a defined period (in days).

#opensource #vulnerability #forecasting #research #sarimax #gcve #cti #thre
atintel ks to @cedric for the continuous work and research on the topic.

vulnerability-lookup.org/2025/

@circl @gcve

2025-12-02

We have implemented #TimeSeries #SeasonalDecomposition using STL and MSTL. :boost_love:

@labplot@lemmy.kde.social
@opensource

➡️ #STL breaks down data into trend, single #seasonality, and noise.

➡️ #MSTL extends this to extract multiple seasonal patterns iteratively. These methods improve analysis and #forecasting for complex seasonal data.

▶️ invent.kde.org/education/labpl

#GSOC #OpenSource #FOSS
#FLOSS #KDE #DataAnalysis #DataViz #TimeSeries #Science #Business #Research #Finance #Tech

Image: STL and MSTL methods in LabPlot
Olusegun OyekanmiOluOyekanmi@flipboard.com
2025-11-26

Prediction Of Cryptocurrency Prices Using LSTM, SVM And Polynomial Regre... https://youtu.be/ElBgDXy4nBw?si=PccGzt2RHB_MZWX- via @YouTube #svm #lstm #forecasting #polynomialregression #cryptocurrency #supportvectormachine

youtube.com/watch?v=ElBgDXy4nB

Posted into NOSABLOGGISTA @nosabloggista-OluOyekanmi

Oxymetheus 🇨🇦Oxymetheus@mastodon.world
2025-11-25

Thoroughly interesting. Disregard the focus on #forecasting for investment purposes. That’s important, certainly, but the ideas here apply to #technology, #climate change, #geopolitics, social and political change, and especially to personal and career developments.

oaktreecapital.com/insights/me

#forecasting #hubris

Genuinely Gary 🌤️sgtgary@mindly.social
2025-11-22

Stratospheric Warming Watch: Polar Vortex Collapse has begun, with cold air and snowfall impacts expected
severe-weather.eu/global-weath

(This is a really good explainer on how stratospheric warming drives arctic outbreaks at the surface)
#weather #forecasting

Benjamin Carr, Ph.D. 👨🏻‍💻🧬BenjaminHCCarr@hachyderm.io
2025-11-19

#Google's #WeatherNext2: Our most advanced #weather #forecasting model
#AI model delivers more efficient, more accurate and higher-resolution global weather predictions
WeatherNext2 can generate forecasts 8x faster and with resolution up to 1hr. This breakthrough is enabled by a new model can provide hundreds of possible scenarios. Using this technology, support weather agencies in making decisions based on a range of scenarios through our experimental cyclone predictions
blog.google/technology/google-

The Barnthebarnblog
2025-11-19

Peer Watch 👀

Hermès stands out as structurally expensive, while H&M looks comfortably valued on PEG.

But valuation alone isn’t a verdict!

and will tell us which companies truly stand up to deeper analysis.

(4/5)

Xavier Marecaxavierdatatech
2025-11-18

The potential collapse of the AMOC is shifting from theory to real climate risk. Iceland now treats it as a national security threat. For data and climate analytics, it’s a call to improve forecasting, scenario modeling, and risk intelligence. Climate is the ultimate data challenge.

cleantechnica.com/2025/11/13/i

Krzysztof Sakrejdawronglang@bayes.club
2025-11-17

Segregation and inequity in risk of exposure interacted to make a bad #pandemic terrible [1]. There's a veneer of complexity around social mechanism that often exclude them from pandemic #forecasting and scenario planning... but it turns out to be pretty simple to show that if there's a group of people on the front lines of exposure to infection, and especially if they are socially segregated, things will not go well for them:

sciencedirect.com/science/arti

[1] academic.oup.com/ofid/article/

#PublicHealth

2025-11-16

San Francisco Chronicle: California’s rule book on El Niño and La Niña is broken

By Greg Porter, Senior Newsroom Meteorologist

(paywall)
sfchronicle.com/weather/articl

#CAwx #LaNina #ElNino #weather #forecasting #wx

2025-11-14

Ultimate Guide to Revenue Intelligence Tools: 12 Best Platforms Compared (2025)

Compare the top 12 revenue intelligence platforms for 2025. Expert analysis of Gong, Clari, People.ai, and 9 more tools with pricing, features, and real-world ROI data from 300+ companies.

optif.ai/media/articles/revenu

Yani Bellini Saibeneyabellini@rstats.me
2025-11-11

📈 Forecasting with regression models #LatinR2025
Learn prediction techniques with linear regression models using #RStats
With Rami Krispin

📅 1 Dic, 14:00–15:30 (UTC-3) – Online
💵 Student USD 5 · Academic USD 10 · Industry USD 15
🔗eventbrite.cl/e/forecasting-wi

#Forecasting #DataScience

Forescasting with regression models. Rami Krispin. Tutorial online. English. Monday December 1st. 14:00 - 15:30 UTC -3

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