Blogs

Creating a machine learning model is like assembling a precise tool, where each line of code serves a specific purpose in predictive analytics.

In machine learning, we have the goal of estimating an unknown function. A machine learning model is a set of rules that identify patterns in data.

At the forefront of technological advancement in healthcare, the integration of Large Language Models (LLMs) like ChatGPT is poised to revolutionize patient services on a global scale.

As technology is increasingly intertwining with our daily lives, the role of Artificial Intelligence (AI) and Machine Learning (ML) becomes more pivotal.

As we embark on the journey of machine learning here at Xorbix in Wisconsin, the train-test split emerges as a fundamental concept that drives the success of our model algorithms.