Key Points Analytical modeling is a mathematical approach to problem-solving. It provides a mathematical structure to make data-based decisions. Skilled practitioners can leverage results across all ...

In practice, exploratory data analysis combines graphics and descriptive statistics. In a highly cited book chapter, Tukey uses R to explore the 1990s Vietnamese economy with histograms, kernel ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

In this post I look at the process for applying data to your decision making – broken down into a simple ten-step process. Don’t be tempted to skip steps or jump ahead to juicier parts ...

1. Prepare the Data. The first step in training an AI model is preparing your data by collecting, cleaning, and preprocessing the information you will use to train the model.

Word tokenization is a process where data is divided into sub-words and converted into numerical IDs that the model can recognize. This tokenization procedure usually employs a dictionary or ...

Entrepreneurs are natural born problem solvers. To solve difficult problems, you need to make difficult decisions. In this post, I will unpack five tips to help you improve your decision making ...

This paper presents a small macroeconomic model describing the main mechanisms of the process of credit creation by the private banking system. The model is composed of a core unit—where the dynamics ...

Quantum Launches GO Refresh for DXi T-Series: A Simple, Subscription-Based Model for Scalable Data Protection and Unmatched Cyber Resilience Business Wire Thu, Mar 13, 2025, 8:00 AM 6 min read ...