...错的常规指南。 How large is your training set? 训练集有多大？ If your training set is small, high bias/low variance classifiers (e.g., Naive Bayes) have an advantage over low bias/high variance classifiers (e.g., kNN), since the latter will overfit. But low bias/high var...

...错的常规指南。 How large is your training set? 训练集有多大？ If your training set is small, high bias/low variance classifiers (e.g., Naive Bayes) have an advantage over low bias/high variance classifiers (e.g., kNN), since the latter will overfit. But low bias/high var...

...错的常规指南。 How large is your training set? 训练集有多大？ If your training set is small, high bias/low variance classifiers (e.g., Naive Bayes) have an advantage over low bias/high variance classifiers (e.g., kNN), since the latter will overfit. But low bias/high var...

...错的常规指南。 How large is your training set? 训练集有多大？ If your training set is small, high bias/low variance classifiers (e.g., Naive Bayes) have an advantage over low bias/high variance classifiers (e.g., kNN), since the latter will overfit. But low bias/high var...

...错的常规指南。 How large is your training set? 训练集有多大？ If your training set is small, high bias/low variance classifiers (e.g., Naive Bayes) have an advantage over low bias/high variance classifiers (e.g., kNN), since the latter will overfit. But low bias/high var...

...高呢？我生成了5000万个券码，重复了20个，问题不大。接下来的问题是，如何把这批券码保存到数据库呢？因为重复难以避免，但冲突率又低的可怜，总不能为了20条冲突的数据去数据库进行5000万次查询判重吧？如果粗暴的批量...

...享文件。文件一旦被添加进VSS，它的每次改动都会被记录下来，用户可以恢复文件的早期版本，项目组的其他成员也可以看到有关文档的最新版本，并对它们进行修改，VSS也同样会将新的改动记录下来。你还会发现，用VSS来组织...

...“数据，那我就填一个”标题“的拼音缩写吧：biaoti。接下来就是字段别名了，我们就直接写”标题“吧。再下面是”字段提示“，这里可以不用填，但 是为了让用户更好体验，我们还是填一个提示比较好，就填入”请填写标...

...建svn服务器。1.下载svn服务器版本，网上遍地都是，下载下来后，解压，一路next 即可。我的...一直是在用svn客户端，因为一些需求需要自己搭建svn服务器。 1.下载svn服务器版本，下载下来后，解压，一路next 即可。 subversion服...

...多少。正好看到网上已经有人做了这个工作，我就直接摘下来了。正好也用了宏的方式计算时间，我们只要在需要计算时间的代码块前后写上TICK,TOCK宏即可。当然，原理也是非常的简单，也就是使用NSDate计算差值。 #import"ViewCo...