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Prediction, Learning, and Games 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Nicolo Cesa-Bianchi 作者

Cambridge University Press

译者

2006-3-13 出版日期

408 页数

GBP 57.00 价格

Hardcover

丛书系列

9780521841085 图书编码

Prediction, Learning, and Games 在线电子书图书标签: 机器学习 OnlineLearning MachineLearning Online_Learning Learning_Theory GameTheory' 搜索引擎 ML

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Prediction, Learning, and Games 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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Prediction, Learning, and Games 在线电子书用户评价

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现在上课学习都得被强制看全英文书，我是真的累

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Online Learning研究必备。数学多，啃下来不易。

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Advanced machine learning 推荐阅读

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老板给买的第一本书，太难懂了。。。

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老板给买的第一本书，太难懂了。。。

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Prediction, Learning, and Games 在线电子书图书描述

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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