Countdown header img desk

MAI SUNT 00:00:00:00

MAI SUNT

X

Countdown header img  mob

MAI SUNT 00:00:00:00

MAI SUNT

X

Introduction to Machine Learning

Introduction to Machine Learning - Miroslav Kubat

Introduction to Machine Learning

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. Professor Kubat is also known for his many practical applications of machine learning, ranging from oil-spill detection in radar images to text categorization to tumor segmentation in MR images.

Citeste mai mult

-10%

transport gratuit

PRP: 448.72 Lei

!

Acesta este Pretul Recomandat de Producator. Pretul de vanzare al produsului este afisat mai jos.

403.85Lei

403.85Lei

448.72 Lei

Primesti 403 puncte

Important icon msg

Primesti puncte de fidelitate dupa fiecare comanda! 100 puncte de fidelitate reprezinta 1 leu. Foloseste-le la viitoarele achizitii!

Livrare in 2-4 saptamani

Plaseaza rapid comanda

Important icon msg

Poti comanda acest produs introducand numarul tau de telefon. Vei fi apelat de un operator Libris.ro in cele mai scurt timp pentru prealuarea datelor necesare.

Completeaza mai jos numarul tau de telefon

Descrierea produsului

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. Professor Kubat is also known for his many practical applications of machine learning, ranging from oil-spill detection in radar images to text categorization to tumor segmentation in MR images.

Citeste mai mult

S-ar putea sa-ti placa si

Parerea ta e inspiratie pentru comunitatea Libris!

Istoricul tau de navigare

Noi suntem despre carti, si la fel este si

Newsletter-ul nostru.

Aboneaza-te la vestile literare si primesti un cupon de -10% pentru viitoarea ta comanda!

*Reducerea aplicata prin cupon nu se cumuleaza, ci se aplica reducerea cea mai mare.

Ma abonez image one
Ma abonez image one