Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

The Nobel Prize in Physics was awarded to two scientists for discoveries that laid the groundwork for the artificial intelligence. British-Canadian Geoffrey Hinton, known as a 'godfather of AI', and ...

In this video, we will understand what is Keras and Tensorflow. Tensorflow is a free and open-source library for machine ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

If you are new to data science, this title is not intended to insult you. It is my second post on the theme of a popular interview question that goes something like: “explain [insert technical topic] ...

If you’re a data scientist or you work with machine learning (ML) models, you have tools to label data, technology environments to train models, and a fundamental understanding of MLops and modelops.

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using cross-functional pods that helped a client save $300M by accurately predicting demand.

Artificial intelligence (AI) is currently de rigueur and omnipresent. To have an understanding of artificial intelligence concepts is to gain a perspective on the technological lever whose force ...