David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Abstract: This paper proposes a predictive techno-economic analysis in terms of voltage stability and cost using regression-based machine learning (ML) models and effectiveness of the analysis is ...

With A.I. transforming just about every industry on our planet, engineers developing this technology are arguably the most ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.

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Monday, Nov 3 Language models, attention mechanisms, transformers (Zico Kolter) Wednesday, Nov 5 Language models, attention mechanisms, transformers (Zico Kolter) Friday, Nov 7 Language models, ...

Stock Market Prediction using Tkinter is a Python-based desktop application that predicts stock prices using a Linear Regression model. The project features a user-friendly Tkinter GUI for entering ...