Please Read Notes: Brand New, International Softcover Edition, Printed in black and white pages, minor self wear on the cover or pages, Sale restriction may be printed on the book, but Book name, contents, and author are exactly same as Hardcover Edition. Fast delivery through DHL/FedEx express.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : Readify Books, Newark, DE, Etats-Unis
Paperback. Etat : NEW. International Edition, Brand New, ISBN and Cover same but contents similar to U.S. Edition, We ship from multiple Locations including India. Legal to use despite any disclaimer, We ship to PO , APO and FPO adresses in U.S.A. Ship from multiple Locations including India Choose Expedited Shipping for FASTER DELIVERY.Customer Satisfaction Guaranteed. N° de réf. du vendeur INISB1#9781107512825
Quantité disponible : 15 disponible(s)
Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
Etat : 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. N° de réf. du vendeur 57758371-6
Quantité disponible : 1 disponible(s)
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
Paperback. Etat : Fair. First Edition. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way. N° de réf. du vendeur 1107512824-7-1
Quantité disponible : 1 disponible(s)
Vendeur : Deadstock Gear, Fort Oglethorpe, GA, Etats-Unis
paperback. Etat : As New. Satisfaction guaranteed. Thank you! N° de réf. du vendeur 10-09-2026-Bulk-Shelf 44/F111
Quantité disponible : 1 disponible(s)
Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
Paperback. Etat : Good. Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics, and engineering. N° de réf. du vendeur CIN1107512824G
Quantité disponible : 1 disponible(s)
Vendeur : World of Books Inc, Montgomery, IL, Etats-Unis
Paperback. Etat : Good. Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics, and engineering. N° de réf. du vendeur CIN1107512824G
Quantité disponible : 1 disponible(s)
Vendeur : Bay State Book Company, North Smithfield, RI, Etats-Unis
Etat : very_good. N° de réf. du vendeur BSM.1D7VF
Quantité disponible : 1 disponible(s)
Vendeur : Basi6 International, Irving, TX, Etats-Unis
Etat : Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition.Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N° de réf. du vendeur ABEOCT25-383558
Quantité disponible : 12 disponible(s)
Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis
Etat : New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide. N° de réf. du vendeur ABBB-16718
Quantité disponible : 5 disponible(s)
Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis
Etat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. N° de réf. du vendeur ABBB-29602
Quantité disponible : 5 disponible(s)