How-To Geek on MSN
7 Uses for the random Module in Python
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 ...
XDA Developers on MSN
6 Windows Task Scheduler tricks I use instead of third-party apps
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.
一学就懂 on MSN
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。
一些您可能无法访问的结果已被隐去。
显示无法访问的结果