The key difference between a data warehouse and a data lake is how the database is structured and how it's used.
The key difference between a data warehouse and a data lake is how the database is structured and how it's used.
Machine learning gradient descent helps machines see how far off they are from making accurate predictions. Then the machine learning algorithm to tweak the learning model.
Data storytelling is just about data visualization. You need to use data to tell narratives that "pop" and connect with your audience.
Defining intelligence is difficult with human intelligence so it's also extremely difficult with artificial intelligence.
In one of my previous posts "The General Problem Solver," I discuss the debate over whether a physical symbol system is necessary and sufficient for intelligence. The developers of one of the early AI programs were convinced it did, but philosopher John Searle presented his Chinese room argument as a rebuttal to this theory. Searle concluded that […]
A data question board can help your data science team have more meaningful discussions. Move beyond simple data analysis to gain real insights.