Statistical learning methods di hang (4 risultati)

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Da: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.Goodwill of Silicon Valley
Contatta il venditoreVenditore con 4 stelleCondizione: Usato - Buono
EUR 7,35
EUR 3,56 spedizioneSpedito in U.S.A.Quantità: 1 disponibile
Condizione: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.

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Da: Robinson Street Books, IOBA, Binghamton, NY, U.S.A.Robinson Street Books, IOBA
Contatta il venditoreVenditore con 4 stelleMembro dell’associazione: IOBA
Condizione: Usato - Molto buono
EUR 58,84
EUR 8,48 spedizioneSpedito in U.S.A.Quantità: 1 disponibile
Trade Paperbac. Condizione: Very Good. Prompt Shipment, shipped in Boxes, Tracking PROVIDED: Very Good trade paperback, Small 4to, minor creases, tips bumped, clean pages, prompt shipping with tracking.

- Brossura
Da: liu xing, Nanjing, JS, Cinaliu xing
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 60,43
EUR 16,07 spedizioneSpedito da Cina a U.S.A.Quantità: 1 disponibile
paperback. Condizione: New. Paperback Pages Number: 235 Statistical Learning is an important subject of the computer and its applications. Statistical learning methods comprehensive and systematic introduction of a statistical learning method. especially supervised learning methods. including perceptron. k-nearest neighbor. naive Bayesian. decision trees. logistic regression and maximum entropy model. support vector machines to enhance the method. the em algorithm. hidden Markov model and the conditions with the airport.…
- Brossura
Da: liu xing, Nanjing, JS, Cinaliu xing
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 261,95
EUR 16,07 spedizioneSpedito da Cina a U.S.A.Quantità: 3 disponibili
Aggiungi al carrellopaperback. Condizione: New. Paperback. Pub Date: 2016-01-01 Publisher: People's Posts and Telecommunications Press. Tsinghua University Press Machine Learning Theory Guide-This book aims to provide an introductory guide for readers who are interested in machine learning theory study and research.?After preparing the knowledge. the chapters of the book focus on: learnability. (hypothetical space) complexity. generalization bound. stability. consistency. convergence rate. regret bound.?In addition to introducing basic con.…