The core of the Python data model architecture is special methods (also known as "magic methods"). These methods, which start ...

I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

Microsoft, MS, which unveiled an artificial intelligence (AI) paper late last month, has drawn attention in the industry. The ...

This quick tutorial explains how you can use Llama 2 and Python to build a wide variety of different applications. The Meta open source LLM is ...

Go hands-on with data scientist Dr. James McCaffrey as he explains neural network dropout, a technique that can be used during training to reduce the likelihood of model overfitting.

It skips over basic programming concepts in favor of higher level topics like organizing Python programs, making sense of the Python object model, using Python’s package management system, and ...

The data science doctor continues his exploration of techniques used to reduce the likelihood of model overfitting, caused by training a neural network for too many iterations.