...件组件都是处理文本的，不能直接处理二进制。 使用拓展可以写二进制文件：https://www.fun123.cn/reference/iot/bytearray.html 蓝牙等组件返回的字节列表（list），目前不能直接追加到拓展中，可以采用遍历字节列表，然后将字节...

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1、默认安卓，主攻，组件最全，拓展非常丰富，甚至开发安卓拓展都是一门垂直类生意。 2、iOS，目前AI伴侣有，编译服务有，但是目前状态不够成熟，组件有的没有实现，且无法实现拓展功能，只能内置一些重要的比如ble和mqt...

...，这块也有一些经验之谈，但一个靠谱的方法是通过老人推荐，会靠谱一些。关于刚毕业，何时应当换工作？跳一跳，在互联网行业里是很频繁的一件事。刚毕业的同学，如同上学时考试交卷时一样，见到有人交卷了，就忐忑不...

...，这块也有一些经验之谈，但一个靠谱的方法是通过老人推荐，会靠谱一些。 关于刚毕业，何时应当换工作？ 跳一跳，在互联网行业里是很频繁的一件事。刚毕业的同学，如同上学时考试交卷时一样，见到有人交卷了，就忐...

...着还不错的常规指南。 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...

...着还不错的常规指南。 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...

...着还不错的常规指南。 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...

...着还不错的常规指南。 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...

...着还不错的常规指南。 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...