Prediction, Learning, and Games 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2025

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Nicolo Cesa-Bianchi 作者

Cambridge University Press

譯者

2006-3-13 出版日期

408 頁數

GBP 57.00 價格

Hardcover

叢書系列

9780521841085 圖書編碼

Prediction, Learning, and Games 在線電子書圖書標籤: 機器學習 OnlineLearning MachineLearning Online_Learning Learning_Theory GameTheory' 搜索引擎 ML

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發表於2025-02-16

Prediction, Learning, and Games 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2025

Prediction, Learning, and Games 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2025

Prediction, Learning, and Games 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2025

Prediction, Learning, and Games 在線電子書用戶評價

評分☆☆☆☆☆

老闆給買的第一本書，太難懂瞭。。。

評分☆☆☆☆☆

老闆給買的第一本書，太難懂瞭。。。

評分☆☆☆☆☆

現在上課學習都得被強製看全英文書，我是真的纍

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Advanced machine learning 推薦閱讀

評分☆☆☆☆☆

人工智能機器學習中online learning算法的必讀書籍，該算法非常有趣，已運用到諸如股票預測等領域並取得好成績，其一個接一個的數據進入使得其與彆的算法大不相同，書中對於數學的要求頗高，我好不容易讀完，深感其精妙，希望在以後的研究工作中能使用到這個算法。

Prediction, Learning, and Games 在線電子書著者簡介

Prediction, Learning, and Games 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Prediction, Learning, and Games 在線電子書圖書描述

This important new text and reference for researchers and students in machine learning, game theory, statistics and information theory offers the first comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical approaches to forecasting, prediction of individual sequences does not impose any probabilistic assumption on the data-generating mechanism. Yet, prediction algorithms can be constructed that work well for all possible sequences, in the sense that their performance is always nearly as good as the best forecasting strategy in a given reference class. The central theme is the model of prediction using expert advice, a general framework within which many related problems can be cast and discussed. Repeated game playing, adaptive data compression, sequential investment in the stock market, sequential pattern analysis, and several other problems are viewed as instances of the experts' framework and analyzed from a common nonstochastic standpoint that often reveals new and intriguing connections. Old and new forecasting methods are described in a mathematically precise way in order to characterize their theoretical limitations and possibilities.

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