先给出回归的实际应用例子:股票预测(stock market forecast)自动驾驶(self-driving car)推荐系统(recommendation)接下来,我们将通过宝可梦进化的例子,来学习认识回归。1.宝可梦进化的例子step1:选择模型——线性模型 b:表示偏移量 xi:表示各种特征,如生命值、体重、身高… wi:表示各种特征的权重step2:
Applying the same method (abstracting diagram subsequence), we know that there exists a subsequence of {uε } (still denoted by 2,1 (?R {uε }) and u ∈ Wp T \Bδ (p0 )), such that uε ?→ u 2.,1 in Wp (?R T \Bδ (p0 )) weakly, 5 let ε→ 0 in Luε ≥ 0 ...
Suppose your data concern a large set of stock market changes and other events in the world. You’d like to know the processes responsible for the stock market price changes, because then you can predict what the stock market will do in the future, and make some money. Or, suppose you ...
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