책 이미지
책 정보
· 제목 : Machine Learning Refined : Foundations, Algorithms, and Applications (Hardcover) 
· 분류 : 외국도서 > 컴퓨터 > 기계이론
· ISBN : 9781107123526
· 쪽수 : 300쪽
· 분류 : 외국도서 > 컴퓨터 > 기계이론
· ISBN : 9781107123526
· 쪽수 : 300쪽
목차
1. Introduction; Part I. The Basics: 2. Fundamentals of numerical optimization; 3. Knowledge-driven regression; 4. Knowledge-driven classification; Part II. Automatic Feature Design: 5. Automatic feature design for regression; 6. Automatic feature design for classification; 7. Kernels, backpropagation, and regularized cross-validation; Part III. Tools for Large Scale Data: 8. Advanced gradient schemes; 9. Dimension reduction techniques; Part IV. Appendices.
저자소개
추천도서
분야의 베스트셀러 >