Glossary

• Pages: 154-154

154

GLOSSARY

  usually simply called neural networks

(NN) or neural nets, are computing systems inspired by the biological neu-

ral networks that constitute animal brains (see also https://en.wikipedia.org/



Black box: A black box is a system that can only be known in terms of its in-

puts and outputs without knowing its inner workings. Its mode of operation is



typically require a huge number of parameters. This makes human under-

standing of their operation impossible. For this reason, such algorithms are

considered black boxes.

Data Science:    

knowledge from large data sets and applying that knowledge and insights

   

preparing data for analysis, framing data science problems, analysing data,

developing data-driven solutions and presenting results to inform high-lev-

el decisions in a wide range of application domains. As such, it incorporates

knowledge of computer science, statistics, mathematics, data visualisation,

information visualisation, data integration, graphic design, complex systems,

communication and business (See also https://en.wikipedia.org/wiki/Data_

science).

   Deep learning is part of a broader family of machine

 



Generative AI:   

text, images or other media in response to instructions. Generative AI models

learn the patterns and structure of their input training data and then generate

new data with similar characteristics.

 is a branch of AI that allows machines to learn from

large amounts of data.

Metadata: data that describe other data, e.g. their information content. They are

analogous to indexes used in a library, such as author, title, publisher, date,

etc. In the case of Spotify this could be singer, composer, style, etc.