An overview of statistical and machine learning

The field of Artificial Intelligence (AI) is not new, and if we remember thirty years ago when we studied AI, except for robotics, there was very little understanding of the future this field held back then. Now, especially in the last decade, there has been a considerable growth of interest in Artificial Intelligence and machine learning. In the broadest sense, these fields aim to 'discover and learn something useful' about the environment. The gathered information leads to the discovery of new algorithms, which then leads to the question, "how to process high-dimensional data and deal with uncertainty"?

Machine learning aims to generate classifying expressions that are simple enough to follow by humans. They must mimic human reasoning sufficiently to provide insights into the decision process. Similar to statistical approaches, background knowledge may be exploited in the development phase. Statistical learning plays a key role in many areas...