In this two-days session, we will provide the theoretical foundations of Data Science and Machine Learning. We will show practical applications to understand the methodology and some of the most well known supervised and unsupervised methods.
Methods like Logistic Regression, Support Vector Machines, Random Forest as well as Deep Learning will be covered from theoretical and practical perspective.