COURSE STARTS 15.04.2019 !
Most of us have their own personal "artificial intelligence assistant" which is implemented on her smartphone. This assistant helps us to find the next supermarket, to translate information in foreign languages or to spot the best Italian restaurant in town. Many of these abilities are obtained using machine learning (ML).
In this course, we will introduce some of the most widely used ML methods such as regression, classification, clustering and dimensionality reduction. We will discuss these methods in a hands-on fashion using coding assignments which include implementations of ML methods using the programming language Python.
The course is organized in six rounds: "Introduction", "Regression", "Classification", "Model Validation and Selection", "Clustering" and "Dimensionality Reduction". Each round covers a certain part of the course book and includes a Python notebook with the coding assignment.
The course is intended for students of Network university FITech. https://fitech.io/instructions-for-applying/
Prerequisites: This course requires only basic skills in mathematics (notion of a function , vectors and matrices ) and familiartiy with at least one high-level programming language (Python, R, C ++, Matlab, Visual Basic,...).