Artificial Intelligence
Author: David Ping
David Ping is a Principal Machine Learning Solutions Architect and Sr. Manager of AI/ML Solutions Architecture at Amazon Web Services. He helps enterprise customers build and operate machine learning solutions on AWS. In his spare time, David enjoys hiking and reading the latest machine learning articles.
Introduction to Amazon SageMaker Object2Vec
In this blog post, we’re introducing the Amazon SageMaker Object2Vec algorithm, a new highly customizable multi-purpose algorithm that can learn low dimensional dense embeddings of high dimensional objects. Embeddings are an important feature engineering technique in machine learning (ML). They convert high dimensional vectors into low-dimensional space to make it easier to do machine learning […]
Amazon SageMaker Neural Topic Model now supports auxiliary vocabulary channel, new topic evaluation metrics, and training subsampling
In this blog post, we introduce three new features of the Amazon SageMaker Neural Topic Model (NTM) that are designed to help improve user productivity, enhance topic evaluation capability, and speed up model training. In addition to these new features, by optimizing sparse operations and the parameter server, we have improved the speed of the […]
Introduction to the Amazon SageMaker Neural Topic Model
Structured and unstructured data are being generated at an unprecedented rate, so you need the right tools to help organize, search, and understand this vast amount of information, it’s challenging to make the data useful. This is especially true for unstructured data, and it’s estimated that over 80% of the data in enterprises is unstructured. Text analytics […]