Silicon Valley Bank’s nosedive has soured many on venture debt, and for early-stage companies, it bears being cautious. ” In fact, more data can hinder a machine learning model, said Duke professor Daniel Reker: “It\u2019s like if you trained an algorithm to distinguish pictures of dogs and cats, but you gave it one billion photos of dogs to learn from and only one hundred photos of cats. Early-stage debt tends to be offered on the basis of a startup\u2019s VC backers