1. Machine learning derives _____ from the data. In other words, it infers rules from the data in order to create a model, and when it gets new information, it can change its mind. 2. What are the three different kinds of machine learning? A. Supervised, unsupervised, reinforcement B. Supervised, unsupervised, enforced C. Unenforced, enforced, supervised 3. What is machine learning good at? A. Analyzing big data and high dimensionality B. Cardinal statistics and spatial dimensions C. High dimensionality and high cardinality 4. Why can we test out machine learning now, as opposed to the past? A. Because weve been gathering data for 50 years and finally have enough. B. Because of open source sharing that allows ideas to be shared among the community so others can improve upon them. C. Both A & B 5. What are the reasons Jim lists for why big data is processed better by computers than humans? A. More attributes than a human can manage B. More permutations than a human can comprehend C. Both A & B