Editor-in-Chief.
Stern School of Business, New York University , New York, New York.
Big Data. 2015 Jun;3(2):55-8. doi: 10.1089/big.2015.28999.vda.
Financial markets emanate massive amounts of data from which machines can, in principle, learn to invest with minimal initial guidance from humans. I contrast human and machine strengths and weaknesses in making investment decisions. The analysis reveals areas in the investment landscape where machines are already very active and those where machines are likely to make significant inroads in the next few years.
金融市场产生了大量的数据，机器可以从中学习投资，而无需人类的初始指导。我对比了人类和机器在做出投资决策方面的优势和劣势。分析揭示了机器已经非常活跃的投资领域，以及未来几年机器可能会取得重大进展的领域。
