Before revision:  Our analysis reveals the essential role that thermal fluctuations play in determining the efficiency of predictive inference. Thermal noise drives a system to explore a range of configurations providing `raw' information for a learning algorithm to construct a predictive model.
After revision:  Our analysis reveals the essential role that thermal fluctuations play in determining the difficulty of the underlying machine learning problem. Specifically, stochastic fluctuations drive a system to explore a range of configurations providing `raw' information for a learning algorithm to construct a predictive model.