01663nam a22002057a 450000500170000000800410001702000180005804000130007608200180008910000160010724500610012325000120018426000350019630000180023149000620024950000510031152010560036254600080141865000310142620260707124348.0260309b        |||||||| |||| 00| 0 eng d  a9781032878140  cPK-LaUMT  a006.31bFAU-C1 aFaul, A. C.12aA concise introduction to machine learning /cA. C. Faul  a2nd ed.  aBoca Raton :bCRC Press,c2025  axxvii, 323 p.  aChapman & Hall/CRC machine learning & pattern recognition  aIncludes bibliographical references and index.  a"A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and Matlab® which are available on GitHub and can be run from there in Binder in a web browser. Each chapter concludes with exercises to explore the content. The emphasis of the book is on the question of Why - only if why an algorithm is successful is understood, can it be properly applied, and the results trusted. Standard techniques are treated rigorously, including an introduction to the necessary probability theory. This book addresses the commonalities and aims to give a thorough and in-depth treatment and develop intuition, while remaining concise. This useful reference should be an essential on the bookshelves of anyone employing machine learning techniques, since it is born out of strong experience in university teaching and research on algorithms, while remaining approachable and readable"-- Provided by publisher  aEng  aMachine learning textbooks