Pattern Recognition and Machine Learning (Information Science and Statistics)

  • 43人登録
  • 4.00評価
    • (3)
    • (2)
    • (3)
    • (0)
    • (0)
  • 1レビュー
  • Springer (2010年2月15日発売)
  • Amazon.co.jp ・洋書 (738ページ)
  • / ISBN・EAN: 9780387310732

Pattern Recognition and Machine Learning (Information Science and Statistics)の感想・レビュー・書評

並び替え:

表示形式:

表示件数:

  • ITC05 Pattern Recognition and Machine Learning

全1件中 1 - 1件を表示

Christopher M. Bishopの作品

この本を読んでいる人は、こんな本も本棚に登録しています。

有効な左矢印 無効な左矢印
まつもと ゆきひ...
ジェラルド・ジェ...
Tom Whit...
David Fl...
有効な右矢印 無効な右矢印

Pattern Recognition and Machine Learning (Information Science and Statistics)はこんな洋書です

Pattern Recognition and Machine Learning (Information Science and Statistics)を本棚に「読みたい」で登録しているひと

Pattern Recognition and Machine Learning (Information Science and Statistics)を本棚に「読み終わった」で登録しているひと

Pattern Recognition and Machine Learning (Information Science and Statistics)の作品紹介

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.

Pattern Recognition and Machine Learning (Information Science and Statistics)のペーパーバック

Pattern Recognition and Machine Learning (Information Science and Statistics)のペーパーバック

ツイートする