Data binning and understanding histograms

The session explains discretization by grouping continuous data into intervals (binning) in order to simplify the data, reduce noise, and improve algorithm performance. The value of binning lies in the fact that an application can efficiently predict user needs or avoid overloads. The value of the session is a few additional design tools for optimizing solutions operating on large data volumes.