1. 为了提醒你谨慎解释预测的重要性，这里要说明，德尔菲的神谕预测，如果发动攻击，会有一个伟大的帝国灭亡。于是国王受到鼓舞攻打波斯，然而出乎意料的是，反而是吕底亚王国灭亡了。这个预测严格来说是正确的，只是被误解而已。
2. “Mastercard Rolls Out Artificial Intelligence across Its Global Network,” Mastercard press release, November 30, 2016, https://newsroom.mastercard.com/press-releases/ mastercard-rolls-out-artificial-intelligence-across-its-globalnetwork/.
3. Adam Geitgey, “Machine Learning Is Fun, Part 5: Language Translation with Deep Learning and the Magic of Sequences,” Medium, August 21, 2016, https://medium.com/@ageitgey/machine-learning-is-fun-part-5-language-translationwith-deep-learning-and-the-magic-of-sequences-2ace0acca0aa.
4. Yiting Sun, “Why 500 Million People in China Are Talking to This AI,” MIT Technology Review, September 14, 2017, https://www.technologyreview.com/s/608841/why-500-million-people-in-china-are-talking-to-this-ai/.
5. Salvatore J. Stolfo, David W. Fan, Wenke Lee, and Andreas L. Prodromidis, “Credit Card Fraud Detection Using Meta- Learning: Issues and Initial Results,” AAAI Technical Report, WS- 97-07, 1997, http://www.aaai.org/Papers/Workshops/1997/WS-97-07/WS97-07-015.pdf里提到，错误率大约是15%至20%。另一个例子是E. Aleskerov, B. Freisleben, and B. Rao, “CARDWATCH: A Neural Network Based Database Mining System for Credit Card Fraud Detection,” Computational Intelligence for Financial Engineering, 1997, http://ieeexplore.ieee.org/stamp/stamp.jsp·arnumber=618940.要注意的是，这并无法完全拿来对照，因为使用的是不同的训练数据库。不过准确率大致不变。
6. Abhinav Srivastava, Amlan Kundu, Shamik Sural, and Arun Majumdar, “Credit Card Fraud Detection Using Hidden Markov Model,” IEEE Transactions on Dependable and Secure Computing 5, no. 1 ( January– March 2008): 37–48, http://ieeexplore.ieee.org/stamp/stamp.jsp·arnumber=4358713. 另外可以参考Jarrod West and Maumita Bhattacharya, “Intelligent Financial Fraud Detection: A Comprehensive Review, Computers & Security 57 (2016): 47–66, http://www.sciencedirect.com/science/article/pii/S0167404815001261.
7. Andrej Karpathy, “What I Learned from Competing against a ConvNet on ImageNet,” Andrej Karth y (blog), September 2, 2014, http://karpathy.github.io/2014/09/02/what-i-learned-from-competing-against-a-convnet-on-imagenet/; ImageNet, Large Scale Visual Recognition Challenge 2016, http://image-net.org/challenges/LSVRC/2016/results; Andrej Karpathy, LISVRC 2014, http://cs.stan ford.edu/people/karpathy/ilsvrc/.
8. Aaron Tilley, “China’s Rise in the Global AI Race Emerges as It Takes Over the Final ImageNet Competition,” Forbes, July 31, 2017, https://www.forbes.com/sites/aarontilley/2017/07/31/china-ai-imagenet/#dafa182170a8.
9. Dave Gershgorn, “The Data That Transformed AI Research— and Possibly the World,” Quartz, July 26, 2017, https://qz.com/1034972/the-data-that-changed-the-direction-of-ai-research-and-possibly-the-world/.
10. 《牛津英语辞典》（Oxford English Dictionary）的定义。
