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.
Whether you’re brand new to machine learning or have tried (and failed) to get models working in Python, Weka may be the perfect starting point for you.
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.
It’s cutting-edge now, but soon a data fabric will be an essential tool. Here’s how it will transform data architecture and create a new competitive advantage.
