Machine Learning for Email : Spam Filtering and Priority Inbox Paperback / softback
by Drew Conway
Paperback / softback
- Information
Description
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."
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:100 pages
- Publisher:O'Reilly Media
- Publication Date:06/12/2011
- Category:
- ISBN:9781449314309
Other Formats
- EPUB from £7.99
- PDF from £8.40
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:100 pages
- Publisher:O'Reilly Media
- Publication Date:06/12/2011
- Category:
- ISBN:9781449314309