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] ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

The lack of gains in productivity from AI could stall adoption and burst the economic bubble. Is there a rational explanation ...

One complete pass in the training phase of an AI model. With each epoch, the model is further refined. Depending on the size of the model, there can be only one epoch or as many as a hundred or more.