What is Text Representation? Text representation refers to how text data is structured and encoded so that machines can process and understand it. Human language is inherently complex, filled with...
The Natural Language Processing (NLP) Blog
Machine Learning – Deep Learning – Data Science
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Wavelet Transform Made Simple [Foundation, Applications, Advantages]
Introduction to Wavelet Transform What is Signal Processing? Signal processing is critical in various fields, from telecommunications to medical diagnostics and multimedia applications. It involves...
Precision And Recall In Machine Learning Made Simple: How To Handle The Trade-off
What is Precision and Recall? When evaluating a classification model's performance, it's crucial to understand its effectiveness at making predictions. Two essential metrics that help assess this...
Confusion Matrix: A Beginners Guide & How To Tutorial In Python
What is a Confusion Matrix? A confusion matrix is a fundamental tool used in machine learning and statistics to evaluate the performance of a classification model. At its core, a tablet lets you...
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Understand Ordinary Least Squares: How To Beginner’s Guide [Tutorials In Python, R & Excell]
What is Ordinary Least Squares (OLS)? Ordinary Least Squares (OLS) is a fundamental technique in statistics and econometrics used to estimate the parameters of a linear regression model. In simple...
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 a metric designed to evaluate the text quality generated by machine...
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 (Bidirectional Encoder Representations from Transformers) to...
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Perplexity In NLP: Understand How To Evaluate LLMs [Practical Guide]
Introduction to Perplexity in NLP In the rapidly evolving field of Natural Language Processing (NLP), evaluating the effectiveness of language models is crucial. One of the key metrics used for this...
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 machine-generated text in NLP, most commonly in machine translation. Kishore...
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 to evaluate the quality of summaries and translations generated by...
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 the effectiveness of search engines, recommendation...
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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 retrieval systems, such as search engines and recommendation systems. It...
Ethical AI Explained: Key Issues & Practical How To Implement Guide
What is Ethical AI? Ethical AI involves developing and deploying artificial intelligence systems prioritising fairness, transparency, accountability, and respect for user privacy and autonomy. It...
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 content, based on their relevance or importance to a given...
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 its core, hashing involves taking an input (or "key") and running it through a...
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 graphical representation used to evaluate the performance of binary...
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 a strong (naive) assumption that every feature in the dataset is...
How To Implement Anomaly Detection With One-Class SVM In Python
What is One-Class SVM? One-class SVM (Support Vector Machine) is a specialised form of the standard SVM tailored for unsupervised learning tasks, particularly anomaly detection. Unlike traditional...
