Order Total (1 Item Items):
Shipping Destination:
Probabilistic Machine Learning Introduction by Murphy Kevin (10 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (10)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (4)
- As New, Fine or Near Fine (No further results match this refinement)
- Very Good or Good (5)
- Fair or Poor (No further results match this refinement)
- As Described (1)
Binding
- All Bindings
- Hardcover (10)
- Softcover (No further results match this refinement)
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (1)
- Not Print on Demand (10)
Language (1)
Price
- Any Price
- Under £ 20 (No further results match this refinement)
- £ 20 to £ 35 (No further results match this refinement)
- Over £ 35
Free Shipping
- Free Shipping to U.S.A. (No further results match this refinement)
Seller Location
Seller Rating
-
hardcover. 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!
-
hardcover. Condition: Good. Bruise/tear to cover.
-
Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
Seller: ChristianBookbag / Beans Books, Inc., Westlake, OH, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: New. New with remainder mark. Buy multiples from our store to save on shipping.
-
Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
Seller: ChristianBookbag / Beans Books, Inc., Westlake, OH, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Very Good. Scratch and dent. Cover may have wear, dings, tears, other damage, or be missing dust jacket. Buy multiples from our store to save on shipping.
-
Hardcover. Condition: Good. We only honor returns for quality issues and won't accept reasons such as 'change my mind', 'find a better price', or 'school book requirement change', etc.
-
Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
Language: English
Published by The MIT Press March 2022, 2022
ISBN 10: 0262046822 ISBN 13: 9780262046824
Seller: Copperfield's Used and Rare Books, Petaluma, CA, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Coll - U6 - Very Good. Hardcover, VG. Pages bright and clean. Minimal shelfwear.
-
Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
Seller: Jadewalky Book Company, HANOVER PARK, IL, U.S.A.
Seller rating 1 out of 5 stars
Condition: Used - Very Good. A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation.Probabilistic Machine Learning grew out of the author's 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the new book is accompanied by online Python code, using libraries such as scikit-learn, JAX, PyTorch, and Tensorflow, which can be used to reproduce nearly all the figures; this code can be run inside a web browser using cloud-based notebooks, and provides a practical complement to the theoretical topics discussed in the book. This introductory text will be followed by a sequel that covers more advanced topics, taking the same probabilistic approach.
-
Hardcover. Condition: New. ISBN:9780262046824.
-
-
International EditionHardcover. Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
