New research by IBM, Amazon, and University of Texas proves that with the right tools, malicious actors can attack text-classification algorithms and manipulate their behavior in potentially ...

Machine learning can solve non-numeric classification problems (e.g ... when researchers at Lawrence Berkeley Lab ran a text processing algorithm (Word2vec) on several million material ...

The classification algorithms used in AI are a mixture of ... low-code and no-code classification pipelines for processing text, audio, imagery and video. The Flare Edge tool, for instance ...

We use the Multinomial Naïve Bayes model, a probabilistic algorithm ideal for text classification, to fit our training vectors to the values of the target variable. The Multinomial Naïve Bayes ...

In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...

also known as unsupervised machine learning on unstructured text documents. We will contrast unsupervised methods to supervised ones and survey common applications of topic modeling. In this module, ...