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.

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 ...