Domain Knowledge (Data Science) - Overview, Case Study

In data science, domain knowledge refers to the general background knowledge of the field to which the methods of data science are being applied.

1 – The Importance of Domain Knowledge – Machine Learning Blog, ML@CMU

Data science skills and domain knowledge requirements in the manufacturing industry: A gap analysis - ScienceDirect

Freddie Mac & KPMG Case Study – Advanced Machine Learning Data Integration with Common Data Framework (Model Robot)

Data science skills and domain knowledge requirements in the manufacturing industry: A gap analysis - ScienceDirect

How Technology Is Changing How We Treat The Elements Of Data Science, by Minati biswal

Why Domain Knowledge Is Important In Data Science?

1 – The Importance of Domain Knowledge – Machine Learning Blog, ML@CMU

F19 – Topics in data analysis – Machine Learning Blog, ML@CMU

An Overview of the Data Science Lifecycle, by Honzik J

Mastering Data Science: Uncovering the Secrets of the Data World by Dheeraj Verma - Issuu

Automating data analytics with ChatGPT, by James Nguyen, Data Science at Microsoft

Why Domain Knowledge is important in Data Science - 360DigiTMG