Analytics Insight

8 Best Online Excel Courses with Certification for 2026 (Beginner to Expert)

Excel is everywhere—more than 750 million people open a workbook each year to balance budgets, fine-tune supply chains, and ...
GitHub

This repo describes python code and input data files for "Forecasting stock return distributions around the globe with quantile neural networks".

torch 2.2.2 PyTorch framework for neural networks. The documented GPU setup targets the official CUDA 12.1 wheel. FF3.CSV Ken French Data Library Full file included Fama-French 3-factor returns. Only ...
IGN

A Reading Guide to Robert Jordan's The Wheel of Time Books

The Wheel of Time by Robert Jordan is one of those epic fantasy series that is often spoken of in the same breath as The Lord of the Rings. It is a story filled with its own dramatic history, lands, ...

The World Cup Kicked Prediction Market Trading to $31 Billion. But Can the Industry Handle the ‘Pressure Test’?

Kalshi and Polymarket had their biggest month ever in June, driven by the FIFA World Cup. Kalshi saw more than $31 billion in ...
IEEE

DIFFODE: Neural ODE with Differentiable Hidden State for Irregular Time Series Analysis

Abstract: Irregular time series analysis is increasingly essential in data management due to the proliferation of complex data irregularly sampled by real-world systems. Traditional time series models ...
IEEE

TSB-Forecast: A Short-Term Load Forecasting Model in Smart Cities for Integrating Time Series Embeddings and Large Language Models

Abstract: In smart cities, energy management systems are essential for efficient resource utilization, enhanced operational efficiency, and sustainability promotion. This work presents a novel load ...