Credits:
1
Hours:
12
Area:
Big Data Mining
Description:
The module addresses practical aspects of machine learning and neural networks. It presents and reviews the main technological solutions to solve two machine learning problems: classification and regression. The course covers several crucial aspects to take into account when developing machine/deep learning solutions: i) what is the best solution to adopt for a given problem? ii) how to evaluate a machine learning model? iii) how to optimize it?
Technics and tools:
The course relies on the most famous machine learning libraries in Python (scikit-learn, Tensorflow, Keras, etc.)
