My presentation at ISF 2024 conference slides with nnetsauce probabilistic forecasting news.

When it comes to finding an R package capable of making interactive visualizations out of the box while also working flawlessly with R Shiny, you don’t have that many options. Sure, there’s Highcarts, but what if you’re looking for something more specialized for time series? Well, that’...

Staying ahead of the curve in machine learning often means adapting to unexpected changes. Recently, our team at Appsilon encountered a situation that highlights the importance of constant monitoring and flexible solutions when working with cloud-based Large Language Models (LLMs). Interested in a demo of our Text2Graph application? Reach ...

This post investigates properties of SHAP values of additive models.

PyShiny (Shiny for Python) represents a significant advancement in the field of data dashboarding, setting new standards for design, maintainability, and scalability. This framework is not just an extension of R Shiny to Python but a refined approach that encapsulates the best practices learned from years of dashboard development: Modular ...

So, you’ve mastered the basics of ggplot2 animation and are now looking for a real-world challenge? You’re in the right place. After reading this one, you’ll know how to download and visualize stock data change through something known as race charts. You can think of race charts ...

Forecasting with XGBoost embedded in Quasi-Randomized Neural Networks at the International Symposium on Forecasting.

Ever wondered what it takes to develop a product? Imagine you’re choosing a company to make your product a reality. What makes you choose one over another? Is it their cool website or their experience with enterprises from Fortune500? When it comes to building quality software solutions, there really ...

Whether you’re a seasoned financial analyst or a data-proficient professional, understanding the calculation of investment returns can help assess the profitability and risks of various assets. This post explores three core methods for calculating investment returns: normalized returns, daily returns, and logarithmic daily returns. The integration of Python within ...