Tutorial

METEOR Metric In NLP: How It Works & How To Tutorial In Python

What is the METEOR Score? The METEOR score, which stands for Metric for Evaluation of Translation with Explicit ORdering, is…

1 year ago

BERTScore – A Powerful NLP Evaluation Metric Explained & How To Tutorial In Python

What is BERTScore? BERTScore is an innovative evaluation metric in natural language processing (NLP) that leverages the power of BERT…

1 year ago

BLEU Score In NLP: What Is It & How To Implement In Python

What is the BLEU Score in NLP? BLEU, Bilingual Evaluation Understudy, is a metric used to evaluate the quality of…

1 year ago

ROUGE Metric In NLP: Complete Guide & How To Tutorial In Python

What is the ROUGE Metric? ROUGE, which stands for Recall-Oriented Understudy for Gisting Evaluation, is a set of metrics used…

1 year ago

Normalised Discounted Cumulative Gain (NDCG): Complete How To Guide

What is Normalised Discounted Cumulative Gain (NDCG)? Normalised Discounted Cumulative Gain (NDCG) is a popular evaluation metric used to measure…

1 year ago

Mean Reciprocal Rank (MRR): How It Works [A Complete Guide]

What is Mean Reciprocal Rank (MRR)? Mean Reciprocal Rank (MRR) is a metric used to evaluate the effectiveness of information…

1 year ago

Understanding Ranking Algorithms: A Comprehensive Guide & How To Implement

What are Ranking Algorithms? Ranking algorithms are computational processes used to order items, such as web pages, products, or multimedia…

1 year ago

Ultimate Guide To Data Structure Hashing With How To Tutorial In Python

What is Hashing? Hashing is used in computer science as a data structure to store and retrieve data efficiently. At…

1 year ago

ROC And AUC Curves In Machine Learning Made Simple & How To Tutorial In Python

What are ROC and AUC Curves in Machine Learning? The ROC Curve The ROC (Receiver Operating Characteristic) curve is a…

1 year ago

Naive Bayes Classification Made Simple & How To Tutorial In Python

What is Naive Bayes? Naive Bayes classifiers are a group of supervised learning algorithms based on applying Bayes' Theorem with…

1 year ago