Category: Machine Learning

To understand housing prices better, simplicity and clarity in our models are key. Our aim with this post is to…

In this paper, we propose an algorithm to optimize a byte-level representation for end-to-end (E2E) automatic speech recognition (ASR). Byte-level…

Despite the ability of generative artificial intelligence (AI) to mimic human behavior, it often requires detailed instructions to generate high-quality…

Image by Author We have all experienced it: starting is the toughest part of any journey. So getting started in…

Self-supervised features are typically used in place of filter-bank features in speaker verification models. However, these models were originally designed…

Several factors can make remediating security findings challenging. First, the sheer volume and complexity of findings can overwhelm security teams,…

Consistent with the principle of Occam’s razor, starting simple often leads to the most profound insights, especially when piecing together…

We present a Positional Description Scheme (PDS) tailored for digit sequences, integrating placeholder value information for each digit. Given the…

Amazon Q Business is a conversational assistant powered by generative artificial intelligence (AI) that enhances workforce productivity by answering questions…

Preparing categorical data correctly is a fundamental step in machine learning, particularly when using linear models. One Hot Encoding stands…