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So if data scientists succeed in providing an advanced data enabled decision machine to these business experts when they need it and where they need it then the data scientists have proved their worth.
Domain expertise data science. In software engineering it means the knowledge about the environment in which the target i e. A lot of people who is starting out on data science do not realize that data scientist are change agents as well because of the insights that we provide changes are necessary and let s face it humans do not like change but change is necessary if the business is to. Fifo vs lifo is one of kirill s tips and hacks in order to acquire domain knowledge.
Moving into data science as a career domain expertise koo ping shung. Data science aims to take data from some domain and come to high level description or model of this data that can be used practically to solve some particular challenge in that domain. This is data science without the data scientist it doesn t require domain expertise.
This episode talks about the importance of domain knowledge in data science. Empowering these engineers to apply data science methodologies will enable the rapid integration of big data and machine learning technologies into the services and operations of the broader organization ultimately establishing a significant competitive advantage when offering the products and services that customers are demanding. But domain expertise will help you keep your job when the robots take over.
The collaborative strength of data science and domain expertise. Domain expertise is the knowledge and understanding of a particular field. The term domain knowledge has been in play even before data science became popular.
As a simple illustration have a look at these groups of words for different industries. As data scientists you may be working in a wide variety of industries each of which has its own intricacies that can only be learned gradually over time. Finally the undisputed fact is that domain experts run the daily business.
The technical aspects of the roles of data scientists are extremely transferable and so adaptation of domain knowledge takes place.
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