Smart Analytics for Smart Cities: How Machine Learning on Large Data Sets Helps Cities Make Better Decisions
Formal Metadata
| Title |
Smart Analytics for Smart Cities: How Machine Learning on Large Data Sets Helps Cities Make Better Decisions
|
| Title of Series | |
| Author |
|
| License |
CC Attribution - NonCommercial - NoDerivatives 2.5 Switzerland:
You are free to use, copy, distribute and transmit the work or content in unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor. |
| Identifiers |
|
| Publisher |
|
| Release Date |
2017
|
| Language |
English
|
Content Metadata
| Subject Area | |
| Abstract |
The goal of machine learning is to enable computers to learn and excel at performing specific tasks. Examples of these tasks range from driving a car and recognizing a face in a picture, to improving a web search. It has also been argued that, through machine learning, we can get closer to achieving the overarching goal of human-level Artificial Intelligence (AI). In the future, machine learning will play a signigficant role in many industries and institutions. This symposium will feature keynote presentations and discussions across a variety of topics at the frontier of machine learning and AI.
|
