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Valeriy M., PhD, MBA, CQFMy article 'Why I’m Writing a New Forecasting Book' has been published on Medium <a href="https://sigmoid.social/tags/timeseries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#timeseries</a> <a href="https://sigmoid.social/tags/forecasting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#forecasting</a>

Valeriy M., PhD, MBA, CQFThank you to everyone who’s joined this journey. The future of time series forecasting is bright—and global. 🌐<a href="https://sigmoid.social/tags/TimeSeries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TimeSeries</a> <a href="https://sigmoid.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataScience</a> <a href="https://sigmoid.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MachineLearning</a> <a href="https://sigmoid.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DeepLearning</a> <a href="https://sigmoid.social/tags/Forecasting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Forecasting</a> <a href="https://sigmoid.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://sigmoid.social/tags/GlobalImpact" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GlobalImpact</a> <a href="https://sigmoid.social/tags/USA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#USA</a> <a href="https://sigmoid.social/tags/Germany" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Germany</a> <a href="https://sigmoid.social/tags/India" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#India</a>

Valeriy M., PhD, MBA, CQF<a href="https://sigmoid.social/tags/TimeSeries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TimeSeries</a> <a href="https://sigmoid.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataScience</a> <a href="https://sigmoid.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MachineLearning</a> <a href="https://sigmoid.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DeepLearning</a> <a href="https://sigmoid.social/tags/Forecasting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Forecasting</a> <a href="https://sigmoid.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://sigmoid.social/tags/BookLaunch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#BookLaunch</a> <a href="https://sigmoid.social/tags/Germany" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Germany</a> <a href="https://sigmoid.social/tags/USA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#USA</a> <a href="https://sigmoid.social/tags/Analytics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Analytics</a> <a href="https://valeman.gumroad.com/l/MasteringModernTimeSeriesForecasting" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://valeman.gumroad.com/l/MasteringModernTimeSeriesForecasting</a>

Valeriy M., PhD, MBA, CQFPreorder now → [Mastering Modern TimeSeries Forecasting](<a href="https://monkeydata.gumroad.com/l/MasteringModernTimeSeriesForecasting" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://monkeydata.gumroad.com/l/MasteringModernTimeSeriesForecasting</a>)Let’s shape the future — one forecast at a time. ⚡📊 <a href="https://sigmoid.social/tags/TimeSeries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TimeSeries</a> <a href="https://sigmoid.social/tags/Forecasting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Forecasting</a> <a href="https://sigmoid.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataScience</a> <a href="https://sigmoid.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MachineLearning</a> <a href="https://sigmoid.social/tags/Preorder" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Preorder</a> <a href="https://sigmoid.social/tags/NewBook" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NewBook</a> <a href="https://sigmoid.social/tags/TechCommunity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TechCommunity</a>

Valeriy M., PhD, MBA, CQFForecasting is a craft. Planet 🌍 time series is an unforgiving place.<a href="https://sigmoid.social/tags/timeseries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#timeseries</a> <a href="https://sigmoid.social/tags/forecasting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#forecasting</a>

ubuntu_touch# contexto: Algoritmo en el contexto de la física # Análogo a uno serie de tiempo en finanzas# objetivo: Calcular el cambio de distancia # a un punto de referencia cada hora # proceso : Los cambios se producen cada minuto # - Visualizamos los cambios cada hora # - Durante el dia de hoy<a href="https://mstdn.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> <a href="https://mstdn.social/tags/Timeseries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Timeseries</a> <a href="https://mstdn.social/tags/softwareLibre" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#softwareLibre</a> <a href="https://mstdn.social/tags/Tiempo" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Tiempo</a> <a href="https://mstdn.social/tags/Fisica" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Fisica</a> <a href="https://mstdn.social/tags/Tutor" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Tutor</a> <a href="https://mstdn.social/tags/Guia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Guia</a>

Valeriy M., PhD, MBA, CQFLet's Make Forecasting Great Again.Drop a comment or DM me if you're interested. Let’s make forecasting history together!<a href="https://sigmoid.social/tags/Forecasting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Forecasting</a> <a href="https://sigmoid.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataScience</a> <a href="https://sigmoid.social/tags/TimeSeries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TimeSeries</a> <a href="https://sigmoid.social/tags/BookLaunch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#BookLaunch</a> <a href="https://sigmoid.social/tags/EarlyAccess" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#EarlyAccess</a> <a href="https://sigmoid.social/tags/CallForReviewers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CallForReviewers</a> <a href="https://sigmoid.social/tags/Analytics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Analytics</a>

Valeriy M., PhD, MBA, CQFAs they say it is not a drill. Enroll now if you want the first cohort with special perks.<a href="https://maven.com/valeriy-manokhin/modern-forecasting-mastery" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://maven.com/valeriy-manokhin/modern-forecasting-mastery</a><a href="https://sigmoid.social/tags/timeseries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#timeseries</a> <a href="https://sigmoid.social/tags/forecasting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#forecasting</a>

Valeriy M., PhD, MBA, CQF<a href="https://sigmoid.social/tags/timeseries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#timeseries</a> <a href="https://sigmoid.social/tags/forecasting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#forecasting</a> <a href="https://maven.com/valeriy-manokhin/modern-forecasting-mastery?utm_campaign=MzM4NjI1&utm_medium=clp_share_link&utm_source=instructor" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://maven.com/valeriy-manokhin/modern-forecasting-mastery?utm_campaign=MzM4NjI1&utm_medium=clp_share_link&utm_source=instructor</a>

Valeriy M., PhD, MBA, CQFNo more toy datasets, just real impact. Learn more: [Course Link](<a href="https://maven.com/valeriy-manokhin/modern-forecasting-master" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://maven.com/valeriy-manokhin/modern-forecasting-master</a>)<a href="https://sigmoid.social/tags/timeseries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#timeseries</a> <a href="https://sigmoid.social/tags/forecasting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#forecasting</a>

Valeriy M., PhD, MBA, CQFCheck my repo “ Transformers_And_LLM_Are_What_You_Dont_Need”<a href="https://sigmoid.social/tags/timeseries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#timeseries</a> <a href="https://sigmoid.social/tags/transformers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#transformers</a> <a href="https://sigmoid.social/tags/forecasting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#forecasting</a>

Valeriy M., PhD, MBA, CQFBottom line: R² can be informative in static regression, but in forecasting, it's a distraction at best — and deceptive at worst.<a href="https://sigmoid.social/tags/TimeSeries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TimeSeries</a> <a href="https://sigmoid.social/tags/Forecasting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Forecasting</a>

Miki :rstats:<a href="https://techhub.social/tags/Day6" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Day6</a> of <a href="https://techhub.social/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#30DayChartChallenge</a>, theme: <a href="https://techhub.social/tags/FlorenceNightingale" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FlorenceNightingale</a>🔄🇪🇸 Estacionalidad promedio de compraventas de vivienda en España (2007-2024). Coxcomb plot muestra meses con ventas típicamente >100 (altas) o <100 (bajas) vs media anual.Método: X-13ARIMA-SEATS con <a href="https://techhub.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> {seasonal}. Datos: INE.📂 Código: <a href="https://t.ly/lC34V" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://t.ly/lC34V</a><a href="https://techhub.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dataviz</a> <a href="https://techhub.social/tags/espa%C3%B1a" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#españa</a> <a href="https://techhub.social/tags/vivienda" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#vivienda</a> <a href="https://techhub.social/tags/INE" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#INE</a> <a href="https://techhub.social/tags/TimeSeries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TimeSeries</a> <a href="https://techhub.social/tags/Seasonality" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Seasonality</a>

Valeriy M., PhD, MBA, CQFFor anyone who thinks transformers and LLMs can manage gravity on planet 🌍 time series, shows them this.<a href="https://sigmoid.social/tags/timeseries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#timeseries</a> <a href="https://sigmoid.social/tags/forecasting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#forecasting</a>

Valeriy M., PhD, MBA, CQFEveryone knows ARIMA as Box and Jenkins framework. However the research on linear models for time series goes back almost 50 years before Box and Jenkins to the works of Kolmogorov (1941) and Wiener (1949).<a href="https://sigmoid.social/tags/timeseries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#timeseries</a> <a href="https://sigmoid.social/tags/kolmogorov" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#kolmogorov</a>

Valeriy M., PhD, MBA, CQFI’ll be pairing it with a book by a former head of analytics at Zillow—let’s call it part of the “Dodo Book Collection”.Stay tuned—I'll be sharing some forecasting insights soon, especially from the “simple methods often outperform” school of thought.<a href="https://sigmoid.social/tags/timeseries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#timeseries</a> <a href="https://sigmoid.social/tags/forecasting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#forecasting</a>

Valeriy M., PhD, MBA, CQF<a href="https://sigmoid.social/tags/Forecasting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Forecasting</a> <a href="https://sigmoid.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataScience</a> <a href="https://sigmoid.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MachineLearning</a> <a href="https://sigmoid.social/tags/TimeSeries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TimeSeries</a> *[Engage below! What’s your go-to metric for forecasting?]*

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