Fundamentals Of Supervised Machine Learning With Applications In Python R And Stata Giovanni Cerulli by Giovanni Cerulli 9783031413377, 3031413377 instant download after payment.

This book presents the fundamental theoretical notions of supervised Machine Learning along with a wide range of
applications with Python, R, and Stata software. The book is dedicated to Ph.D. students, academics, and practitioners in various fields of study (social sciences, medicine, epidemiology, as well as hard sciences) who intend to learn the fundamentals of supervised Machine Learning to apply it to concrete case studies.
The book assumes the reader to have a good understanding of basic statistics (both descriptive and inferential), the meaning and the writing of algorithms, and a working knowledge of Python, R, or Stata software. Mathematics is used only when strictly necessary, and a large focus is paid to graphical explanations instead of analytic proofs.
Supporting materials can be downloaded freely from:  https://github.com/GioCer73/Book_FSML_Ed1