In this Faculty Development Program, we the Department of Artificial Intelligence and Data Science faculty had gained a basic idea of Mathematics behind our Data Science domain. In this foundation program, the guest had shared with us how to approach the problem statement. He discusses the following topic:
Components of Data Scientists
Basic Terminologies used
Best definition and examples for AI, Data Analytics, Data Science
Skills needed for Data Scientists
Relationship between AI,ML,DL and DS
Discussion about functions in ML
Basic characteristics of functions - Domain, Range, Parameter, Inverse, etc
Definition of family of functions
Model selection - common models
Visualization and its importance
ML pipeline
Problem solving techniques - procedural, Model driven
Data Distribution
and many more topics.
The sessions gives all of the participants a great idea about the approach towards Data Science. In AI domain, how we are deriving the decisions on the given problem statement from the data taken from the raw data set. We are planning to arrange a series 2 on the same FDP session in the next semester break, which gives us a good confidence on the same.
21st Century Engineering College in Coimbatore
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