Mathematics for Machine Learning - Marc Peter Deisenroth

nThe fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine lear…

Compară ofertele (1)

Ofertele sunt ordonate după preț, de la cel mai mic. Linkurile către magazine pot fi afiliate; comisionul nu schimbă ordinea. Cum ordonăm rezultatele

Momentan o singură ofertă pentru acest produs — adăugăm magazine noi constant.