AI began with mathematicians, engineers and psychologists trying to make software learn like a human brain. But we might only reap the true benefits once we let go of the limitations of human thinking.
Scikit-learn is a powerful machine learning library that’s a great place for beginners to get their feet wet. Here’s a guide to getting started with it.
As the AI-driven revolution is underway, many people are understandably worried about their job security. Fortunately, replacing workers with AI is, paradoxically, creating demand for more workers.
This guide introduces you to a suite of classification performance metrics in Python and some visualization methods that every data scientist should know.
Data scientists need to have a good understanding of how to select the best features when it comes to model building. This guide will help you get started.
To make the most of machine learning for their clients, data scientists need to be able to explain the likely factors behind a model's predictions. Python offers multiple ways to do just that.
