文件名称:
Bayesian Reasoning and Machine Learning
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文件大小: 13mb
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上传时间: 2016-02-19
详细说明: Machine Learning is the study of data-driven methods capable of mimicking, understanding and aiding human and biological information processing tasks. In this pursuit, many related issues arise such as how to compress data, interpret and process it. Often these methods are not necessarily directed to mimicking directly human processing but rather to enhance it, such as in predicting the stock market or retrieving information rapidly. In this probability theory is key since inevitably our limited data and understanding of the pro blem forces us to address uncertainty. In the broadest sense, Machine Learning and related fields aim to ‘learn something useful’ about the environment within which the agent operates. Machine Learning is also closely allied with Artificial Intelligence, with Machine Learning placing more emphasis on using data to drive and adapt the model. ...展开收缩
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