It’s no longer needed supercomputers and a team with PhDs from MIT to create predictive models based on data. We are witnessing innovations in machine learning that are making it an increasingly accessible field. This lecture aims to demystify machine learning through exposure to concepts and use of a number of technologies. In this talk, we will address the types of problems and the algorithms, always applied to real problems. Also, open source tools like Scikit-learn will be presented as well as a way to practice and try these ideas through competitions like Kaggle.