Utility-Based Learning from Data

Name: Utility-Based Learning from Data
Brand: Taylor & Francis Ltd
Price: 81.75 AUD
Availability: BackOrder

By: Craig Friedman, Sven Sandow

Write A Review

Paperback | 25 November 2019 | Edition Number 1

At a Glance

Paperback
417 Pages

Dimensions(cm)
23.4 x 15.6 x 2.9

Paperback

RRP $88.99

$81.75

or 4 interest-free payments of $20.44 with

Available for Backorder. We will order this from our supplier however there isn't a current ETA.

Utility-Based Learning from Data provides a pedagogical, self-contained discussion of probability estimation methods via a coherent approach from the viewpoint of a decision maker who acts in an uncertain environment. This approach is motivated by the idea that probabilistic models are usually not learned for their own sake; rather, they are used to make decisions. Specifically, the authors adopt the point of view of a decision maker who

(i) operates in an uncertain environment where the consequences of every possible outcome are explicitly monetized,
(ii) bases his decisions on a probabilistic model, and
(iii) builds and assesses his models accordingly.

These assumptions are naturally expressed in the language of utility theory, which is well known from finance and decision theory. By taking this point of view, the book sheds light on and generalizes some popular statistical learning approaches, connecting ideas from information theory, statistics, and finance. It strikes a balance between rigor and intuition, conveying the main ideas to as wide an audience as possible.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $89.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.