Describe text classification and related terminology (e.g., supervised machine learning). Apply text classification to marketing data through a peer-graded project. Apply text classification to a ...

tune and improve the performance the topic model you create for your project In this module, we will cover the fundamental concepts of topic modeling, also known as unsupervised machine learning on ...

train and consume custom machine learning models in those apps. Heading the highlights of ML.NET 2.0 are new APIs for working with text, specifically one that enables a new text classification ...

Using machine learning ... We will learn how to classify text using deep learning and without writing code. We will practice by building a classification model trained in news articles from ...

corpus in order to use machine learning and generate production-ready engines. Building some of the standard text analytics engines such as language detection, named entity extraction, sentiment ...