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.

Developers are increasingly relying on large language models (LLMs) for everyday computing tasks such as fixing bugs, ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

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.

This project is targeting people who want to learn internals of ml algorithms or implement them from scratch. The code is much easier to follow than the optimized libraries and easier to play with.

machine-learning tutorial cplusplus neural-network torch pytorch autograd artificial-intelligence generative-adversarial-network colab datasets tensors language-model convolutional-neural-network ...