Title: 人工智能:人工智能选股之朴素贝叶斯模型 Download
 Description: This report gives a systematic test of naive Bayesian model, linear discriminant analysis and two discriminant analysis "Generation model" is a kind of supervised learning method in machine learning. Learning from "discriminant model" The strategy function and the conditional probability are different. The generation model mainly studies the joint probability distribution. book In this paper, we analyze and compare several common generation models (packages) from the naive Bayes algorithm. The linear discriminant analysis and the two discriminant analysis are applied to the similarities and differences of multi factor stock selection. The investors of the domain have a useful reference value.
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人工智能:人工智能选股之朴素贝叶斯模型.pdf 2167917 2017-10-28

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