Kontakt
Kako nakupovati
Dostava
Svetovalec pri nakupu
Mathematical Foundations for Data Analysis
Angleščina
160 b
30 dni za vračilo blaga
Morda bi vas zanimalo tudi
/
Mehka
10.22
€
/
Mehka
52.54
€
This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis. In particular, this book was designed and written as preparation for students planning to take rigorous Machine Learning and Data Mining courses. It introduces key conceptual tools necessary for data analysis, including concentration of measure and PAC bounds, cross validation, gradient descent, and principal component analysis. It also surveys basic techniques in supervised (regression and classification) and unsupervised learning (dimensionality reduction and clustering) through an accessible, simplified presentation. Students are recommended to have some background in calculus, probability, and linear algebra. Some familiarity with programming and algorithms is useful to understand advanced topics on computational techniques.
O knjigi
Angleščina
Podarite to knjigo še danes
To je povsem preprosto
1 Dodajte knjigo v košarico in izberite dostavo kot darilo 2 V zameno vam bomo poslali kupon 3 Knjiga bo dostavljena na naslov obdarovancaPozdravljeni! Sem Libroamiko, vaš knjižni svetovalec.
Kako vam lahko pomagam?