Machine Learning: An Applied Mathematics Introduction, Paperback/Paul Wilmott

Descriere YEO:

Machine Learning: An Applied Mathematics - Disponibil la elefant.ro

Pe YEO găsești Machine Learning: An Applied Mathematics de la Panda Ohana Publishing, în categoria Foreign Books.

Indiferent de nevoile tale, Machine Learning: An Applied Mathematics Introduction, Paperback/Paul Wilmott din categoria Foreign Books îți poate aduce un echilibru perfect între calitate și preț, cu avantaje practice și moderne.

Preț: 143.99 Lei

Caracteristicile produsului Machine Learning: An Applied Mathematics

• Brand: Panda Ohana Publishing
• Categoria: Foreign Books
• Magazin: elefant.ro
• Ultima actualizare: 30-05-2026 00:29:25

Comandă Machine Learning: An Applied Mathematics Online, Simplu și Rapid

Prin intermediul platformei YEO, poți comanda Machine Learning: An Applied Mathematics de la elefant.ro rapid și în siguranță. Bucură-te de o experiență de cumpărături online optimizată și descoperă cele mai bune oferte actualizate constant.

Descriere magazin:
Description Machine Learning: An Applied Mathematics Introduction covers the essential mathematics behind all of the following topics K Nearest Neighbours K Means Clustering Na ve Bayes Classifier Regression Methods Support Vector Machines Self-Organizing Maps Decision Trees Neural Networks Reinforcement Learning The book includes many real-world examples from a variety of fields including finance (volatility modelling) economics (interest rates, inflation and GDP) politics (classifying politicians according to their voting records, and using speeches to determine whether a politician is left or right wing) biology (recognising flower varieties, and using heights and weights of adults to determine gender) sociology (classifying locations according to crime statistics) gambling (fruit machines and Blackjack) business (classifying the members of his own website to see who will subscribe to his magazine ) Paul Wilmott brings three decades of experience in mathematics education, and his inimitable style, to the hottest of subjects. This book is an accessible introduction for anyone who wants to understand the foundations but also wants to "get to the meat without having to eat too many vegetables." Annotation This resource covers the essential mathematics behind all of the following topics: K Nearest Neighbours; K Means Clustering; Na-ve Bayes Classifier; Regression Methods; Support Vector Machines; Self-Organizing Maps; Decision Trees; Neural Networks; and Reinforcement Learning.rning.