Machine learning applied to crime prediction
Miquel Vaquero Barnadas · RECERCAT (Consorci de Serveis Universitaris de Catalunya) · 2016
Machine Learning is a cornerstone when it comes to artificial intelligence and big data analysis. It provides powerful algorithms that are capable of recognizing patterns, classifying data, and, basically, learn by themselves to perform a specific task. This field has incredibly grown in popularity these days, however, it still remains unknown for the majority of people, and even for most professionals. This project intends to provide an understandable explanation of what is it, what types are there and what it can be used for, as well as solve a real data classification problem (namely San Francisco crimes classification) using different algorithms, such as K-Nearest Neighbours, Parzen windows and Neural Networks, as an introduction to this field.