You can combine the random module with Python's built-in string module to create strong random passwords. The idea is to ...
Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...
NVIDIA's diminutive DGX Spark development companion moves away from the robotics focus of its forebears and into the office ...
Discover how Windows Task Scheduler can replace various third-party apps for automating reminders, cleaning, backups, scripts ...
Cybersecurity researchers have flagged a new set of 175 malicious packages on the npm registry that have been used to facilitate credential harvesting attacks as part of an unusual campaign.
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Python离群值检测实战

传感器监控、安全运营、欺诈检测——这些场景都需要及时发现异常状况。但是问题在于,异常样本出现频率低导致标注数据稀缺,监督学习模型难以构建。虽然异常(anomaly)和新颖性(novelty)这两个概念经常混用,但它们在建模假设和处理流程上存在本质差异。