商品の詳細
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
| カテゴリー: | 本・音楽・ゲーム>>>本>>>コンピュータ/IT |
|---|---|
| 商品の状態: | 未使用に近い |
| 配送料の負担: | 着払い(購入者負担) |
| 配送の方法: | 未定 |
| 発送元の地域: | 未定 |
| 発送までの日数: | 1~2日で発送 |
商品の説明
Pattern Recognition and Machine Learning (Information Science and Statistics)
Machine learning Pattern Recognition: Explanation and Examples
Navigating the Landscape of Pattern Recognition and Machine
Pattern Recognition and Machine Learning (Information Science and
Pattern Recognition Using Neural Networks: Theory and Algorithms for Engineers and Scientists by Carl G. Looney (1997-02-20)
最新のクチコミ
2歳息子へのクリスマスプレゼントに買いました。何回も読んでいるうちに自分でも少し読めるようになってきました。ホットケーキが好きなので作るマネをしたり、楽しんでいます。
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