The tutorial will cover basic topics from the field of Machine Learning explained in an intuitive way relevant for Semantic Web researchers and practitioners. In the first part the topics will cover brief top level overview of the Machine Learning field, its algorithms, and data types being analyzed. In the second part we will cover relation to Semantic Web and Web2.0. In the last part we will perform hands-on exercise with some of the tools for modeling text semantics and social networks in analytical way.