Data mining is the extraction of novel knowledge, or hidden patterns, from large data bases.
This is the first and introductory module for the MIT degree in Big Data Science.
In this module students will be exposed to different categories of machine and statistical learning algorithms that can be used to manipulate big …
Students will obtain hands-on experience on the following technologies such as: Python, Spark, Hadoop, R and SAS, Streaming, Data fusion, Distributed …
The focus in this module is on Information Ethics and its place within the disciplines of Ethics and Philosophy.
Example courses, amongst others, may include: Cyber-security, Digital Forensics, Deep Machine Learning, Image and sound analysis, Feature extraction, …
This module provides the opportunity to students for demonstrating the application of the theoretical Big Data Science knowledge gained in the core …