🔥 Matt Dancho (Business Science) 🔥(@mdancho84) 's Twitter Profile Photo

Business Problem 2 of 10: Demand Forecasting. In 2 minutes, I'll share how data science can be useful in demand forecasting for companies. Let's go:

Demand forecasting is the process of making estimations about future customer demand over a defined period of time, using…

Business Problem 2 of 10: Demand Forecasting. In 2 minutes, I'll share how data science can be useful in demand forecasting for companies. Let's go:

Demand forecasting is the process of making estimations about future customer demand over a defined period of time, using…
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George Tsitati(@Tsitati_George) 's Twitter Profile Photo

Early warning systems should include the following four key, interrelated components:

👉Disaster risk knowledge based on systematic collection of data and disaster risk assessments.
👉Detection, monitoring, analysing and forecasting of hazards and possible consequences.…

Early warning systems should include the following four key, interrelated components:

👉Disaster risk knowledge based on systematic collection of data and disaster risk assessments.
👉Detection, monitoring, analysing and forecasting of hazards and possible consequences.…
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Fact Infoist(@FactInfoist) 's Twitter Profile Photo

The Antikythera mechanism, pronounced AN-tih-KIH-ther-ə, stands as an ancient Greek manual orrery, serving as the earliest documented instance of an analog computer. It was utilized for forecasting astronomical positions and eclipses with remarkable precision, capable of…

#facts The Antikythera mechanism, pronounced AN-tih-KIH-ther-ə, stands as an ancient Greek manual orrery, serving as the earliest documented instance of an analog computer. It was utilized for forecasting astronomical positions and eclipses with remarkable precision, capable of…
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Valeriy M., PhD, MBA, CQF(@predict_addict) 's Twitter Profile Photo

“ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting”, a new architecture combining time and frequency domains outperforms current state-of-the-art methods.

“ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting”, a new architecture combining time and frequency domains outperforms current state-of-the-art methods.

#timeseries #forecasting
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🔥 Matt Dancho (Business Science) 🔥(@mdancho84) 's Twitter Profile Photo

It took me 10 months to solve these business problems with data science. In the next 10 days, I'll share how I tackle them one by one (with examples). Here's what's coming:

1. Customer Segmentation
2. Demand Forecasting
3. Risk Management
4. Fraud Detection
5. Supply Chain…

It took me 10 months to solve these business problems with data science. In the next 10 days, I'll share how I tackle them one by one (with examples). Here's what's coming:

1. Customer Segmentation
2. Demand Forecasting
3. Risk Management
4. Fraud Detection
5. Supply Chain…
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Elements(@VCElements) 's Twitter Profile Photo

Forecasting U.S. Clean Energy Job Creation by State (2019-2050) 💼

elements.visualcapitalist.com/forecasting-u-…

Forecasting U.S. Clean Energy Job Creation by State (2019-2050) 💼

elements.visualcapitalist.com/forecasting-u-…
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Zyn Capital(@zyn_addict) 's Twitter Profile Photo

Saw an Uber eats delivery guy dripped out wearing all Essentials.

Zyn Capital is now forecasting 3 rate hikes this year, not cuts. No questions, thank you.

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🇺🇦 Agri Market Insights #BarvaInvest(@BarvaInvest) 's Twitter Profile Photo

🇺🇦 UA AGRI UPDATE
👉Exportable surplus is at 1.7Mmt, a 5-year low.
👉Crop-24 thrives post-mild winter. There is a marginal winter kill (1-3%, if any).
👉Almost 50% of 246KHa spring wheat planted.
👉Forecasting wheat-24 crop & matching last year's 23Mmt, 16Mmt

🇺🇦 UA AGRI UPDATE 
👉Exportable surplus is at 1.7Mmt, a 5-year low. 
👉Crop-24 #wheat thrives post-mild winter. There is a marginal winter kill (1-3%, if any). 
👉Almost 50% of 246KHa spring wheat planted.
👉Forecasting wheat-24 crop & #exports matching last year's 23Mmt, 16Mmt
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