Introduction to Machine Learning

Аннотация

Machine learning must be one of the fastest growing fields in computer science. It is not only that the data is continuously getting “bigger,” but also the theory to process it and turn it into knowledge. In various fields of science, from astronomy to biology, but also in everyday life, as digital technology increasingly infiltrates our daily existence, as our digital footprint deepens, more data is continuously generated and collected. Whether scientific or personal, data that just lies dormant passively is not of any use, and smart people have been finding ever new ways to make use of that data and turn it into a useful product or service. In this transformation, machine learning plays a larger and larger role. There is more structure to the data: It is not just numbers and character strings any more but im-ages, video, audio, documents, web pages, click logs, graphs, and so on. More and more, the data moves away from the parametric assumptions we used to make for example, normality. Frequently, the data is dy-namic and so there is a time dimension.