If the mention of algebra conjures bad memories of math classes, a Python library called SymPy could change your mind about ...

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into DataFrames and offers lots of operations you can perform on this data. It was ...

The Etch A Sketch was never supposed to meet a Raspberry Pi, a camera, or a mathematical algorithm, but here we are. [Tekavou ...

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Discover how order book trading powers smart crypto strategies: learn key concepts, advanced order book patterns, data tools ...

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Two-dimensional liquid chromatography (2D-LC) improves chromatographic performance, with LCxLC providing extensive ...

Shedstore has updated its Garden Trellis Ideas for Climbing Plants & Walls guide and infographic, drawing on customer ...

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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。