Categories: AI/ML Research

Using R for Predictive Modeling in Finance

Predictive modeling in finance uses historical data to forecast future trends and outcomes. R, a powerful statistical programming language, provides a robust set of tools and libraries for financial analysis and modeling. This article explores the key techniques and packages in R that are commonly used for predictive modeling in finance. We’ll cover time series […]

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Supervised Learning: The Foundation of Predictive Modeling

Editor’s note: This article is a part of our series on visualizing the foundations of machine learning.

January 8, 2026

In "AI/ML Research"

Generalizable Error Modeling for Human Data Annotation: Evidence from an Industry-Scale Search Data Annotation Program

Machine learning (ML) and artificial intelligence (AI) systems rely heavily on human-annotated data for training and evaluation. A major challenge in this context is the occurrence of annotation errors, as their effects can degrade model performance. This paper presents a predictive error model trained to detect potential errors in search…

October 1, 2024

In "FAANG"

PyTorch Tutorial: How to Develop Deep Learning Models with Python

Last Updated on May 1, 2023 Predictive modeling with deep learning is a skill that modern developers need to know. PyTorch is the premier open-source deep learning framework developed and maintained by Facebook. At its core, PyTorch is a mathematical library that allows you to perform efficient computation and automatic…

May 1, 2023

In "AI/ML Research"

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