Acest site necesită browser-ul să fie activat JavaScript.
Vă rugăm să activați JavaScript și să reîncărcați această pagină.
Site-ul necesită browser-ul pentru a activa cookie-urile pentru a se autentifica.
Vă rugăm să activați cookie-urile și reîncărcați această pagină.
Carte romana
Carte rusa
Carte engleza
Vezi toate cartile
Top branduri cosmetica
Cosmetica Coreeana
Machiaj
Ingrijire ten
Ingrijire par
Ingrijire corp
Produse de baie
Igiena orala
Igiena intima
Igiena sexuala
Cosmetice barbati
Seturi cadou
Naturale si organice
Vezi toate cosmeticele
Top branduri dermatocosmetica
Protectie solara
Seturi cadou si pachete promo
Parfumuri pentru femei
Top branduri femei
Premium brands femei
Parfumuri unisex
Vezi toate parfumurile
Parfumuri pentru barbati
Top branduri barbati
Premium brands barbati
Jucarii si jocuri
Hrana si articole copii
Scutece si servetele
Rechizite si papetarie
Vezi toate produsele
Nutritie & Suplimente
Branduri
Miroslav KubatAn Introduction to Machine Learning, Hardcover
în Pickup Point de la 599.99 MDL
în 14 de zile
înainte de plată
This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of "boosting," how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms.
This revised edition contains three entirely new chapters on critical topics regarding the pragmatic application of machine learning in industry. The chapters examine multi-label domains, unsupervised learning and its use in deep learning, and logical approaches to induction. Numerous chapters have been expanded, and the presentation of the material has been enhanced. The book contains many new exercises, numerous solved examples, thought-provoking experiments, and computer assignments for independent work.
About the Author:
Miroslav Kubat, Associate Professor at the University of Miami, has been teaching and studying machine learning for over 25 years. He has published more than 100 peer-reviewed papers, co-edited two books, served on the program committees of over 60 conferences and workshops, and is an editorial board member of three scientific journals. He is widely credited with co-pioneering research in two major branches of the discipline: induction of time-varying concepts and learning from imbalanced training sets. He also contributed to research in induction from multi-label examples, induction of hierarchically organized classes, genetic algorithms, and initialization of neural networks.
Am aprecia părerea ta! Evaluați acest produs
Nu există comentarii de la alți utilizatori.