How Machines Think (& Why Government Should Care)

What makes Artificial Intelligence (AI) a unique technology is its ability to “learn” from experience. Instead of programming applications with predefined rules to perform specific functions, data is used to teach the application to complete a desired task. This underlying approach – machine learning – relies on large scale processing of structured or unstructured data to build intelligence, enabling the computer to make sense of data, recognize patterns and ultimately to support desired actions or conclusions.

Given the importance of machine learning within AI, knowing how it operates can be valuable to even the non-data-scientists in understanding how they can use AI and how the technology may evolve in the near future. Here, we discuss different approaches to machine learning, potential mathematical models and problem types, and how to train and test specific algorithms.

Download the whitepaper below to learn more!