The most important skill for an empirical researcher is not math, but judgment.
Understanding the computational complexity of learning problems is essential for developing efficient algorithms.
Faith is the great cop-out, the great excuse to evade the need to think and evaluate evidence. Faith is belief in spite of, even perhaps because of, the lack of evidence.
