What are Support Vector Machines? Machine learning algorithms transform raw data into actionable insights. Among these algorithms, Support Vector Machines…
What are Classification Metrics in Machine Learning? In machine learning, classification tasks are omnipresent. From spam detection in emails to…
What are Common Natural Language Processing (NLP) Tools? Natural Language Processing (NLP) tools are software components, libraries, or frameworks designed…
What is a Universal Sentence Encoder? The Universal Sentence Encoder (USE) is a powerful tool in natural language processing (NLP)…
What is a Prototypical Network? At its core, Prototypical Networks represent a groundbreaking approach to tackling the complexities of classification…
What is fastText? fastText, a product of Facebook's AI Research (FAIR) team, represents a remarkable leap forward in natural language…
What is Linear Discriminant Analysis (LDA)? Linear Discriminant Analysis (LDA) is a powerful technique in machine learning and statistics. It…
Basics of Document Classification Document classification, or document categorization, is a fundamental natural language processing (NLP) task that categorizes text…
Binary classification is a fundamental concept in machine learning, and it serves as the building block for many other classification…
What is text labelling? Text labelling, or text annotation or tagging, assigns labels or categories to text data to make…