Entries by Mallesh Murugesan

Text Classification: Binary to Multi-label Multi-class classification

Unstructured data in the form of text is everywhere: emails, web pages, social media, survey responses, domain data and more. While textual data is very enriching, it is very complex to gain insights easily and classifying text manually can be hard and time-consuming. For businesses to make intelligent data-driven decisions, understanding the insights in the text […]

Transfer Learning

Transfer learning is a machine learning method where a model developed for a task is reused as the starting point for a model on a second task. In transfer learning, we leverage prior knowledge from one domain into a different domain. The way transfer learning is done is by deleting the last output layer and […]

Knowledge Integration in AI

So let’s think about how humans learn, we humans are very good at continuously enriching and refining our knowledge and skills by seamlessly combining existing knowledge with new experiences. We exhibit a wide spectrum of learning abilities in various fields. We can be lawyers during the day and go play tennis or go for a […]

What is NLS?

NLS: Natural Language Search is a search using everyday spoken language, such as English. Using this type of search, you can ask a database a question or type in a descriptive sentence that describes your question. Though asking questions in a more natural way (ex: What is the population of England as of 2018? Or […]

Intelligent Automation Primer

Abeyon contributed to the ACT-IAC white paper on Intelligent Automation Primer. The goal of this primer is to help readers understand how they can adopt various automation technologies to make their businesses more effective. The term Intelligent automation marries artificial intelligence—including natural language processing, machine learning, and machine vision—with automation to replicate and/or imitate human […]

Deploy AI Models as Microservice

Microservice is a software development technique for developing an application as a suite of small, independently deployable services built around specific business capabilities. Microservices is the idea of breaking down big, monolithic application into a collection of smaller, independent applications. Why should machine learning models be deployed as microservices? This is an empirical era for […]