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Destination, rates & speedsSeller: SecondSale, Montgomery, IL, U.S.A.
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Seller Inventory # 00086343401
Quantity: 4 available
Seller: SecondSale, Montgomery, IL, U.S.A.
Condition: Acceptable. Item in acceptable condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Seller Inventory # 00086726568
Quantity: 1 available
Seller: Big River Books, Powder Springs, GA, U.S.A.
Condition: like_new. This book is in Like New condition. It is unused, but has a remainder mark on the edge of the pages. Otherwise it is a new book. Seller Inventory # BRV.0262046822.LN
Quantity: 11 available
Seller: Textbooks_Source, Columbia, MO, U.S.A.
hardcover. Condition: Good. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Seller Inventory # 009468670U
Quantity: 2 available
Seller: Follow Books, SOUTHFIELD, MI, U.S.A.
Condition: New. New Book. Seller Inventory # 0262046822-TUX
Quantity: 10 available
Seller: BestAroundDeals, Grand Rapids, MI, U.S.A.
Hardcover. Condition: New. Seller Inventory # ABE-1684586071843
Quantity: 2 available
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 864. Seller Inventory # 26387805125
Quantity: 3 available
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condition: 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. Seller Inventory # ABTA-313085
Quantity: 1 available
Seller: Copperfield's Used and Rare Books, Petaluma, CA, U.S.A.
Hardcover. Condition: Coll - U6 - Very Good. Hardcover, VG. Pages bright and clean. Minimal shelfwear. Seller Inventory # 6208928
Quantity: 1 available
Seller: Jadewalky Book Company, HANOVER PARK, IL, U.S.A.
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. Seller Inventory # Y2-BZI8-O6YW
Quantity: 3 available