Syllabi February 22, 2016

“Machine Learning” is a catchall term for software that improves computers’ ability to recognize patterns and solve problems through examples and feedback. Deep Learning is based on similar methods, but increases efficiency by mimicking the gang mentality of neurons, creating convolutional neural nets similar to the human mind, allowing computers to grasp abstract meaning with less guidance. The combination of these two learning approaches has put humanity on a rapid course toward creating sophisticated (and ubiquitous) artificial intelligence. The gold standard of AI has been a machine that could pass the Turing Test—meaning its ability to pass as human.