Peter Flach (276 results)

Paperback. Condition: Good.

Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

Hardcover. Condition: Very Good. With dust jacket. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Condition: acceptable. This copy has clearly been enjoyedâ"expect noticeable shelf wear and some minor creases to the cover. Binding is strong, and all pages are legible. May contain previous library markings or stamps.

paperback. Condition: Good.

Condition: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Condition: Good. Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.

hardcover. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Condition: like_new. Book is in like new condition with only potential shelf wear. No marking or highlighting.

Paperback. Condition: Good. As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook.…

Hardback. Condition: Fair.

Hardback. Condition: Good.

Hardcover. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Paperback. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condition: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condition: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condition: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Hardcover. Condition: Good. No Jacket. Light wear. Very light soiling. Lightly bumped corners. Photographed By Peter Field Peck (illustrator).

Hardcover. Condition: Good. HARDBACK - GOOD Condition - Dust jacket has some surface wear. Book pages in good reading condition inside. Ships same or next business day.

Soft cover. Condition: Fine. Excellent copy with no significant flaws and no markings to text. ***Shipped within 24 hours from the beautiful Baltimore inner harbor area. First class service; accurate descriptions. Most items packed in boxes, not envelopes.***.

Trade Paperback. Condition: Near Fine. First Edition First Printing. A stock image [photo] is an accurate representation of the listed book's cover design. Complete number line at copyright page. . Covers clean, colors bright, no reading creases at spine, minor edge wear. Pages [174 plus 6 pages publisher ads] clean, unmarked, binding tight, slight lean to spine. Illustrated throughout with B&W photographs. All books are in my smoke free & climate controlled shop and will have qualities and/or flaws described. Domestic & international shipping includes tracking information. Size: 8vo - over 7¾" - 9¾" tall. Peck, Peter Field (illustrator).…

Paperback. Condition: Very Good. As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. …

Pamphlet. Condition: Very Good. Vol 69, No 8, pp. 1195-1207, Map, Photos, 4to, Extracted from orig vol, begins with title page, trimmed & stapled, thus is like a pamphlet, last page in facsimile, else VG.

Condition: New.

Condition: As New. Unread book in perfect condition.

Soft cover. Condition: Near Fine. (1975), Near Fine/no dj, tall octavo, 5 volumes: 24 to 32pp. each, tall softcover pamphlets, b&w ill's throughout, bindings tight, texts unmarked.

Hardcover. Condition: Very Good. No Jacket. First Printing First Edition. Book is in very good condition, minimal shelf wear and no soiling, nice square binding, no markings. Peck, Peter Field (illustrator).

Hardcover. Condition: Fine. Dust Jacket Condition: Fine. Hardcover. First Edition/1st printing [per number line]. DJ: nominal edge wear. Quarter evergreen/evergreen boards with light green spine text. Else tight and square. B&W photos within. MEDICINE/FITNESS/HEALTH.

Hardcover. Condition: UsedGood. Hardcover; fading and shelf wear to the cover; former owner's name and stam ping on front end page; otherwise in good condition with clean text and tig ht binding.