Articoli correlati a Machine Learning for Email: Spam Filtering and Priority...
Sinossi
If you're an experienced programmer willing to crunch data, this concise guide will show you how to use machine learning to work with email. You'll learn how to write algorithms that automatically sort and redirect email based on statistical patterns. Authors Drew Conway and John Myles White approach the process in a practical fashion, using a case-study driven approach rather than a traditional math-heavy presentation.
This book also includes a short tutorial on using the popular R language to manipulate and analyze data. You'll get clear examples for analyzing sample data and writing machine learning programs with R.
- Mine email content with R functions, using a collection of sample files
- Analyze the data and use the results to write a Bayesian spam classifier
- Rank email by importance, using factors such as thread activity
- Use your email ranking analysis to write a priority inbox program
- Test your classifier and priority inbox with a separate email sample set
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
Drew Conway is a PhD candidate in Politics at NYU. He studies international relations, conflict, and terrorism using the tools of mathematics, statistics, and computer science in an attempt to gain a deeper understanding of these phenomena. His academic curiosity is informed by his years as an analyst in the U.S. intelligence and defense communities.
John Myles White is a Ph.D. student in the Princeton Psychology Department, where he studies how humans make decisions both theoretically and experimentally. Outside of academia, John has been heavily involved in the data science movement, which has pushed for an open source software approach to data analysis. He is also the leadmaintainer for several popular R packages, including ProjectTemplate and log4r.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Compra nuovo
Visualizza questo articolo
EUR 21,34
EUR 1,91 per la spedizione da U.S.A. a Italia
Destinazione, tempi e costiRisultati della ricerca per Machine Learning for Email: Spam Filtering and Priority...
Foto dell'editore
Machine Learning for Email
Da: PBShop.store US, Wood Dale, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo WO-9781449314309
Quantità: 1 disponibili
Foto dell'editore
Machine Learning for Email
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo WO-9781449314309
Quantità: 1 disponibili
Foto dell'editore
Machine Learning for Email: Spam Filtering and Priority Inbox
Editore:
O'Reilly Media, Inc, USA, 2011
ISBN 10: 1449314309
ISBN 13: 9781449314309
Nuovo
Paperback / softback
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 275. Codice articolo B9781449314309
Quantità: 1 disponibili
Foto dell'editore
Machine Learning for Email: Spam Filtering and Priority Inbox
Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Codice articolo GOR009374166
Quantità: 1 disponibili
Immagini fornite dal venditore
Machine Learning for Email
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: New. This compact book explores standard tools for text classification, and teaches the reader how to use machine learning to decide whether a e-mail is spam or ham (binary classification), based on raw data from The SpamAssassin Public Corpus. Of course, sometimes the items in one class are not created equally, or we want to distinguish among them in some meaningful way. The second part of the book will look at how to not only filter spam from our email, but also placing "more important" messages at the top of the queue. This is a curated excerpt from the upcoming book "Machine Learning for Hackers.". Codice articolo LU-9781449314309
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Machine Learning for Email
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: New. This compact book explores standard tools for text classification, and teaches the reader how to use machine learning to decide whether a e-mail is spam or ham (binary classification), based on raw data from The SpamAssassin Public Corpus. Of course, sometimes the items in one class are not created equally, or we want to distinguish among them in some meaningful way. The second part of the book will look at how to not only filter spam from our email, but also placing "more important" messages at the top of the queue. This is a curated excerpt from the upcoming book "Machine Learning for Hackers.". Codice articolo LU-9781449314309
Quantità: Più di 20 disponibili
Foto dell'editore
Machine Learning for Email
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Valutazione del venditore 5 su 5 stelle
Condizione: New. This compact book explores standard tools for text classification, and teaches the reader how to use machine learning to decide whether a e-mail is spam or ham (binary classification), based on raw data from The SpamAssassin Public Corpus. Num Pages: 146 pages, Illustrations. BIC Classification: UMB; UYQM. Category: (XV) Technical / Manuals. Dimension: 234 x 179 x 9. Weight in Grams: 266. . 2011. Paperback. . . . . Codice articolo V9781449314309
Quantità: 1 disponibili
Immagini fornite dal venditore
Conway, D: Machine Learning for Email
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. This compact book explores standard tools for text classification, and teaches the reader how to use machine learning to decide whether a e-mail is spam or ham (binary classification), based on raw data from The SpamAssassin Public Corpus.Über . Codice articolo 595883649
Quantità: 1 disponibili
Foto dell'editore
Machine Learning for Email: Spam Filtering and Priority Inbox
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo I-9781449314309
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Machine Learning for Email : Spam Filtering and Priority Inbox
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: As New. Unread book in perfect condition. Codice articolo 13356267
Quantità: 1 disponibili