Big Data has five characteristics:
- velocity
- volume
- variety
- veracity
- value.
The five cloud computing characteristics
- on-demand self-service
- broad network access
- resource pooling
- rapid elasticity
- measured service.
Data mining has a six-step process:
- goal setting
- selecting data sources
- preprocessing
- transforming
- mining
- evaluation.
[[Deep Learning]] utilizes neural networks to teach itself patterns in inputs and outputs.
[[Machine Learning]] is a subset of AI that uses computer algorithms to learn about data and make predictions without explicitly programming the analysis methods into the system.
[[Regression]] identifies the strength and amount of the correlation between one or more inputs and an output.
Skills involved in processing Big Data include the application of [[General/Notion/Math/Statistics]], [[Machine Learning]] models, and some computer programming.
[[Generative AI]], a subset of [[artificial intelligence]], focuses on producing new data rather than just analyzing existing data.
It allows machines to create content, including images, music, language, computer code, and more, mimicking creations by people.