VentureBeat April 5, 2023
When somebody says artificial intelligence (AI), they most often mean machine learning (ML). To create an ML algorithm, most people think you need to collect a labeled dataset, and the dataset must be huge. This is all true if the goal is to describe the process in one sentence. However, if you understand the process a little better, then big data is not as necessary as it first seems.
Why many people think nothing will work without big data
To begin with, let’s discuss what a dataset and training are. A dataset is a collection of objects that are typically labeled by a human so that the algorithm can understand what it should look for. For example, if we want...
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