Mechanistic Data Science For Stem Education And Applications - Wing Kam Liu

This Book Introduces Mechanistic Data Science (mds) As A Structured Methodology For Combining Data Science Tools With Mathematical Scientific Principles (i.e., Mechanistic Principles) To Solve Intractable Problems. Traditional Data Science Methodologies Require Copious Quantities Of Data To Show A Reliable Pattern, But The Amount Of Required Data Can Be Greatly Reduced By Considering The Mathematical Science Principles. Mds Is Presented Here In Six Easy-to-follow Modules: 1) Multimodal Data Generation And Collection, 2) Extraction Of Mechanistic Features, 3) Knowledge-driven Dimension Reduction, 4) Reduced Order Surrogate Models, 5) Deepnbsp;learning For Regression And Classification, And 6) System And Design.