Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...

In this video, we will about training word embeddings by writing a python code. So we will write a python code to train word embeddings. To train word embeddings, we need to solve a fake problem. This ...

Abstract: Ransomware and other forms of malware cause significant financial and operational damage to organizations by exploiting long-standing and often difficult-to-detect software vulnerabilities.

通过 Faiss 进行相似性搜索时，10 亿图像数据库上的一次查询仅耗时 17.7 微秒，速度较之前提升了 8.5 倍，且准确度也有所提升。 除图片检索外，相似性搜索还有更广阔的运用场景。例如，通过搜索数据库来判断某一罪行是否属于较严重的犯罪形式，或有重罪趋势；通过搜索和成功店铺所在地相似的人口特征和环境特征，来寻找零售商新店的最佳位置；通过相似城市的搜索，来衡量所在城市薪资水平是否合理等。

In this video, we will about training word embeddings by writing a python code. So we will write a python code to train word embeddings. To train word embeddings, we need to solve a fake problem. This ...

Word2Vec is a family of neural network models that learn dense vector representations (embeddings) of words from large corpora of text. These embeddings capture semantic relationships between words, ...

Abstract: In order to improve the text matching degree and calculation accuracy of the short text classification method, this paper studies the optimization of the short text classification method of ...