forecasting-predictions
A hands-on tutorial with Python and Darts for demand forecasting, showcasing the power of TiDE and TFT
Prediction markets are legal, contrary to popular belief. But they remain unpopular, because they lack key features that make markets attractive.
Over the past two decades, Google has hosted two different internal platforms for predictions. Why did the first one fail — and will the other endure?
Hey guys, welcome back to my R-tips newsletter. Supply chain management is essential in making sure that your company’s business runs smoothly. One of the key elements is managing inventory efficiently. Today, I’m going to show you how to estimate inve...
This article will take you through some of the best Business Forecasting project ideas you should try. Business Forecasting Project Ideas.
In this article, I'll take you through the task of Demand Forecasting and Inventory Optimization using Python.
The answer to a simple question of why do consumer products manufacturers not use retail data in the management of the supply chain?
Graph-based models capture correlations efficiently enough to enable machine learning at scale.
Learn how to build MMMs for different countries the right way
Epistemic Status: Sadly Not Yet Subsidized Robin Hanson linked to my previous post on prediction markets with the following note: I did briefly mention subsidization, as an option for satisfying th…
Contests that non-contestants consume for entertainment are a fixture of economic, cultural and political life. We exploit injury-induced changes to teams’ line
There are many ways of estimating how long a software project will take. All of them are a waste of time.
The story of a decade-plus long journey toward a unified forecasting model.
Framework improves efficiency, accuracy of applications that search for a handful of solutions in a huge space of candidates.
A leading global retailer has invested heavily in becoming one of the most competitive technology companies around. Accurate and timely demand forecasting for millions of item-by-store combinations is…
A series of posts on the limits of human forecasting, and what we may learn from the very best research into the topic.
Results from the BIN paper, or why reducing noise in your decision making is far easier than fighting your cognitive biases.
This report describes 12 common flaws, errors, and misadventures that occur in people’s heads when predictions are made.