Candidates can also find the latest machine learning interview questions on Fourier transform in their data scientist interview. The Fourier transform is a common tool for breaking down generic functions into a superposition of symmetric functions. Simply put, it’s like figuring out the recipe from a dish served to us.
Fourier transform helps in finding out the set of cycle speeds, phases, and amplitudes for matching any particular time signal. Fourier transform helps in the conversion of the signal from the time domain to the frequency domain. As a result, it becomes easier to extract features from audio signals and even other time series like sensor data.