Learn how to build your own GPT-style AI model with this step-by-step guide. Demystify large language models and unlock their ...

Python’s been the language of data science since before machine learning was trendy, and now you can use it for building AI ...

In this work, we explore further complexity reduction by proposing a simple linear regression (LR) -based EVM monitoring method. We systematically compare the performance of the proposed method with ...

Objective Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obstructive pulmonary disease ...

This article presents a design and realization of fuzzy rule-based regression models based on standard decision trees. A two-phase design of rule-based model is offered in this study to provide a good ...

Trimming or winsoring outliers can help improve the robustness and interpretability of regression analysis, it's essential to weigh the advantages against the potential disadvantages - Advantages: 1.

I review smartwatches for a living, and my favorite models from Apple, Samsung and Garmin are heavily marked down.

Non-linear analysis of laminated metal matrix composites by an integrated micro/macro-mechanical model ...

python scikit-learn data-analysis linear-regression-models model-deployment jupiter-notebook joblib standardscaler car-price-prediction-with-machine-learning Updated 3 weeks ago Jupyter Notebook ...

OpenAI’s AI models explained: When to use GPT-4o, o4-mini, or 4.1 Need speed, depth, or voice/image input? We break down OpenAI’s three main models so you know which one to use and when.