Machine Learning

The task at hand was to, using a form of machine learning find an algorithm to separate biting monkeys from non-biting monkeys, to see which to put into a zoo and allow visitors to pet. The algorithm was to be based on attributes that were common between select monkeys in a certain category, including the position of the mouth, eyes, or accessories. In the end, I along with a fellow classmate was able to figure out a 100% working system to classify whether a monkey would bite or not, all except for one monkey which had a new type of mouth which meant there was not enough information to classify the monkey, landing it an uncertain spot in the biting category (you can't be too safe). Through this task, it was made semi-apparent to me how computers actually function within all the hardware, showcasing how important boolean information was to the processing of information, due to computers basically just being billions if not trillions of little bytes which only have two modes- on and off. This activity made it clear how computers functioned and sorted data, and how they do it with such accuracy and precision.