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 ...

Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...

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.

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

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.

Retailers are implementing AI through software companies like Happy Returns and Narvar to detect return fraud and issue ...

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 ...