How are the intersections of Industrial Data Science shaped?
In which areas of everyday life is Data Science involved?
Sensor and camera-based tracking of position and performance data for obective game analysis and development of tactics methods
Real time based analysis and evaluation of body and fitness values for training control and interpretation of competition strategies
Recognition and processing of naturally spoken language as a digital assistant to enable searching information or performing simple tasks
How is data mining different from maschine learning?
Data mining is defined as the process of finding patterns in data. This process runs automatically.
Maschine learning is artificial generation of knowledge from experience by learning algorithms developing a model from examples.
Which fields of application for Data Science exist in the industrial enviroment?
What primary methods does Data Science distinguish?
Self Organizing Maps
Association Rules/ Shopping Cart Analysis
What examples can you give of the digization of production?
Digital assistance systems
Simulation and facotry digitization
Planning and control systems
Over which areas does the scope of the digital factory extend?
The Digital Factory is the generic term for a comprehensive network of digital models, methods and tools - including simulation and 3D / VR visualization - which are integrated through end-to-end data management.
What are the different data types of Data Science?
Alpha numeric data
Time data/ timestamp
Audio signal data
Which characteristics of Big Data can you name?
amount of data generated
speed of data generation
type of data generation
What are the main tasks involved in the preparation of raw data?
Creation of the data sets
Annotation of the data sets