Domain Knowledge Data Science Definition
Domain knowledge in data science means asking the right questions to get insights about how your business functions.
Domain knowledge data science definition. The technical aspects of the roles of data scientists are extremely transferable and so adaptation of domain knowledge takes place. The importance of domain knowledge a healthcare data science perspective november 10 2017 3 comments in data science data science news gerneral insights main category projectmanagement use case use cases by thomas blanchard. Domain knowledge refers to the knowledge you have about the industry you re working in the company you re working for and the specific sub area you re working on inside the company. Fifo vs lifo is one of kirill s tips and hacks in order.
As an example if you re building machine learning. In the recommender system example the model might calculate the affinity that a user has towards a product. The data scientist needs to have the domain knowledge to clearly articulate the domain specific assumptions that can be used to relate the problem goal to the calculated quantity. My thanks go to saeed mubarak.
Examples the procedures for configuring a particular software product. Data science practitioners apply machine learning algorithms to numbers text images video audio and more to produce artificial intelligence ai systems to perform tasks that ordinarily require human intelligence. We c an use the same definition in data science to say domain knowledge is the knowledge about the environment in which the data is processed to reveal secrets of the data. Domain knowledge usually must be learned from software users in the domain as domain specialists experts rather than from software developers.
Domain knowledge type knowledge definition knowledge that applies to a specific profession industry subject or activity. Data science is the field of study that combines domain expertise programming skills and knowledge of mathematics and statistics to extract meaningful insights from data. Data science for business is a very different beast than building models in an academic. Follow these steps to up your domain knowledge level.
As it is unreasonable to expect any one person to fulfill both roles we are necessarily looking at a team effort.