只用 FAISS 时，搜索有时像在碰运气——语义上相似但事实错误的结果时常出现。迁移到 Qdrant拿到的不只是数据库，更是对系统的掌控力。稠密向量配合关键词过滤（混合搜索），终于能回答"显示 GPU 相关的技术文档，但只要官方手册里的"这种精确查询 ...

Overview: Prior knowledge of the size and composition of the Python dataset can assist in making informed choices in programming to avoid potential performance ...

Abstract: In the Python world, NumPy arrays are the standard representation for numerical data and enable efficient implementation of numerical computations in a high-level language. As this effort ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

There’s a lot to know about search intent, from using deep learning to infer search intent by classifying text and breaking down SERP titles using Natural Language Processing (NLP) techniques, to ...

Data analysis is an integral part of modern data-driven decision-making, encompassing a broad array of techniques and tools to process, visualize, and interpret data. Python, a versatile programming ...

Python has grown in popularity over the years to become one of the most popular programming languages for machine learning (ML) and artificial intelligence (AI) tasks. It has replaced many of the ...

最近 M1 芯片爆火，它是否适用于数据科学？在常用基准上测试一下就知道了。 新版 Macbook 已经问世了一段时间，如果将 M1 芯片用于数据科学，性能会如何呢？本文作者将 M1 Macbook Pro 与基于 Intel 的 2019 Macbook Pro 在 5 种常用基准上进行了测试，结果发现 M1 芯片的 ...

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