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Pattern Recognition and Machine Learning (Information
4.1
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商品詳細情報
| 管理番号 | 新品 ：986362071 | 発売日 | 2025-05-21 10:09 | 定価 | 7999円 | 型番 | 986362071 | ||
|---|---|---|---|---|---|---|---|---|---|
| カテゴリ | |||||||||
Pattern Recognition and Machine Learning (Information
Pattern Recognition and Machine Learning (Information。Pattern Recognition and Machine Learning 1st Edition by。Pattern Recognition and Machine Learning (Information。Pattern Recognition and Machine Learning (Information Science and Statistics) 2006年巻頭に8ページの黒ペンの書き込みありOPP袋に入れて、宅急便コンパクト専用梱包材に入れて、佐川急便/日本郵便での発送を予定しています。
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation pro- gation. Similarly, new models based on kernels have had significant impact on both algorithms and applications.
。
Deep Learning vs. Machine Learning vs. Pattern Recognition。
\rコメントなしでの即購入歓迎。
ORT READ WITH Biff,Chip ＆ Kipper
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation pro- gation. Similarly, new models based on kernels have had significant impact on both algorithms and applications.
| カテゴリー: | 本・雑誌・漫画>>>本>>>洋書 |
|---|---|
| 商品の状態: | 傷や汚れあり |
| 配送料の負担: | 送料込み(出品者負担) |
| 配送の方法: | 佐川急便/日本郵便 |
| 発送元の地域: | 大阪府 |
| 発送までの日数: | 2~3日で発送 |
Deep Learning vs. Machine Learning vs. Pattern Recognition。
\rコメントなしでの即購入歓迎。
ORT READ WITH Biff,Chip ＆ Kipper
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