01318nam a2200241Ia 4500 CTU_237167 210402s9999 xx 000 0 und d 006.31 S528 Shalev-Shwartz, Shai. Understanding machine learning : From theory to algorithms Shai Shalev-Shwartz, Shai Ben-David New York Cambridge University Press 2014 Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed by previous textbooks. Nguyên lý máy học CT202 Machine learning.,Computer algorithms.,Học bằng máy,Các thuật toán máy tính. Chuyên Tuyến Trung tâm Học liệu Trường Đại học Cần Thơ