Computer Science
In information theory, entropy is often measured in bits, which corresponds to a logarithm of base 2 (log₂). The change of base formula is essential for converting between natural units (nats, base e) and bits (base 2).
Finance and Economics
When analyzing investments that compound continuously, the natural log (base e) is used. To compare these with investments compounded at discrete intervals, one might need to convert between different logarithmic bases to find equivalent growth rates or doubling times.
Scientific Research
Many scientific models are naturally expressed in base 'e' due to its connection with growth and decay. However, for communication or comparison, results are sometimes converted to base 10, which is more intuitive for understanding orders of magnitude. The change of base formula facilitates this translation.