Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation In forecasting economic time series, statistical models often need to be complemented with a ... This paper addresses this ...

Python libraries that can interpret and explain machine learning models provide valuable insights into their predictions and ensure transparency in AI applications.

How to Use Python to Forecast Demand, Traffic & More for SEO Forecasting can offer great value in SEO. Here's how to get data-driven answers about possible trends in organic search using Python.

Python has become an increasingly popular platform due to its ability to automate processes, analyze data, and improve the efficiency of human resources management (HR) operations. Python can assist ...

In this post, we’ll discuss some of the differences between fixed and random effects models when applied to panel data — that is, data collected over time on the same unit of analysis — and how these ...

Meta tested the accuracy of its multi-token prediction models using the MBPP and HumanEval benchmark tests. MBPP contains about 1,000 Python coding tasks.

Multi-token prediction also makes models up to three times faster at inference time across a wide range of batch sizes, according to the researchers.