Big Data

Big Data is a term that comes from the English language, which refers to a large amount of data. In most cases, in addition to the scope, This also expresses the complexity and fast-moving nature of the data.

Big data is also significant, that the existing data is not in a conventional way – manual or semi-automatic – have evaluated.

The data can also come from multiple sources. Often it is like that, that the data only makes sense when it is linked or that connections become apparent.

Only through the use of super-fast computers, Clustering and with the help of artificial intelligence it is often possible to use this mass data [German synonym for Big Data] into comprehensible contexts.

Machine Learning

Machine learning (Machine Learning) describes the synthetic (artificial) Creation of knowledge from experience.

An artificial system learns from a variety of examples, can generalize this knowledge after completing the learning phase and then use it independently.

Machine learning doesn't just involve memorizing examples, but the algorithm recognizes or. interprets patterns and regularities in the learning data.

Our everyday lives are increasingly being determined by artificial intelligence and the sub-area of ​​machine learning, who learn from data and generalize what they have learned.

Popular examples include voice recognition on cell phones, Spam filters in computers or facial recognition.