References
Acemoglu, Daron, and Pascual Restrepo. 2018. “Artificial
Intelligence, Automation and Work.” National Bureau of Economic
Research.
Amit, Yali, Gilles Blanchard, and Kenneth Wilder. 2000. “Multiple
Randomized Classifiers: MRCL.”
Baylor, Denis, Eric Breck, Heng-Tze Cheng, Noah Fiedel, Chuan Yu Foo,
Zakaria Haque, Salem Haykal, et al. 2017. “Tfx: A
Tensorflow-Based Production-Scale Machine Learning Platform.” In
Proceedings of the 23rd ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining, 1387–95. ACM.
Bojarski, Mariusz, Davide Del Testa, Daniel Dworakowski, Bernhard
Firner, Beat Flepp, Prasoon Goyal, Lawrence D Jackel, et al. 2016.
“End to End Learning for Self-Driving Cars.” arXiv
Preprint arXiv:1604.07316. https://arxiv.org/abs/1604.07316.
Cover, T., and P. Hart. 1967. “Nearest Neighbor Pattern
Classification.” IEEE Transactions on Information Theory
13 (1): 21–27.
Diaconis, Persi, and David Freedman. 1987. “A Dozen de Finetti-style Results in Search of a
Theory.” In Annales de l’IHP
Probabilités Et Statistiques, 23:397–423.
Hermann, Jeremy, and Mike Del Balso. 2017. “Meet Michelangelo:
Uber’s Machine Learning Platform.”
indeed. 2018. “Jobs of the Future: Emerging Trends in
Artificial Intelligence.”
Klartag, Bo’az. 2007. “A Central Limit Theorem for Convex
Sets.” Inventiones Mathematicae 168 (1): 91–131.
Mehrasa, Nazanin, Yatao Zhong, Frederick Tung, Luke Bornn, and Greg
Mori. 2017. “Learning Person Trajectory Representations for Team
Activity Analysis.” arXiv Preprint arXiv:1706.00893. https://arxiv.org/abs/1706.00893.
Milman, Vitali D, and Gideon Schechtman. 2009. Asymptotic Theory of
Finite Dimensional Normed Spaces: Isoperimetric
Inequalities in Riemannian Manifolds. Vol. 1200. Springer.
Polson, Nicholas G, and James Scott. 2018. AIQ: How
People and Machines Are Smarter Together. St. Martin’s Press.
Polson, Nicholas G, Vadim Sokolov, et al. 2017. “Deep
Learning: A Bayesian Perspective.”
Bayesian Analysis 12 (4): 1275–1304.
Poplin, Ryan, Avinash V Varadarajan, Katy Blumer, Yun Liu, Michael V
McConnell, Greg S Corrado, Lily Peng, and Dale R Webster. 2018.
“Prediction of Cardiovascular Risk Factors from Retinal Fundus
Photographs via Deep Learning.” Nature Biomedical
Engineering 2 (3): 158.
Silver, David, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou,
Matthew Lai, Arthur Guez, Marc Lanctot, et al. 2017. “Mastering
Chess and Shogi by Self-Play with
a General Reinforcement Learning Algorithm.” arXiv.
https://arxiv.org/abs/1712.01815.
Tesauro, Gerald. 1995. “Temporal Difference Learning and
TD-Gammon.” Communications of the ACM 38
(3): 58–68.
Varian, Hal R. 2010. “Computer Mediated
Transactions.” American Economic Review 100 (2):
1–10.
Wojna, Zbigniew, Alex Gorban, Dar-Shyang Lee, Kevin Murphy, Qian Yu,
Yeqing Li, and Julian Ibarz. 2017. “Attention-Based Extraction of
Structured Information from Street View Imagery.” arXiv
Preprint arXiv:1704.03549. https://arxiv.org/abs/1704.03549.