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...

# The Natural Language Processing (NLP) Blog

## Machine Learning – Deep Learning – Data Science

## 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...

## Decision Trees In ML Complete Guide [How To Tutorial, Examples, 5 Types & Alternatives]

What are Decision Trees? Decision trees are versatile and intuitive machine learning models for classification and regression tasks. It represents decisions and their possible consequences,...

## Isolation Forest For Anomaly Detection Made Easy & How To Tutorial

What is an Isolation Forest? Isolation Forest, often abbreviated as iForest, is a powerful and efficient algorithm designed explicitly for anomaly detection. Introduced by Fei Tony Liu, Kai Ming...

## Batch Gradient Descent In Machine Learning Made Simple & How To Tutorial In Python

What is Batch Gradient Descent? Batch gradient descent is a fundamental optimization algorithm in machine learning and numerical optimisation tasks. It is a variation of the gradient descent...

## Bias Mitigation in Machine Learning [Practical How-To Guide & 12 Strategies]

In machine learning (ML), bias is not just a technical concern—it's a pressing ethical issue with profound implications. As AI systems become increasingly integrated into our daily lives, from...

## Full-Text Search Explained, How To Implement & 6 Powerful Tools

What is Full-Text Search? Full-text search is a technique for efficiently and accurately retrieving textual data from large datasets. Unlike traditional search methods that rely on simple string...

## Support Vector Regression (SVR) Simplified & How To Tutorial In Python

What is Support Vector Regression (SVR)? Support Vector Regression (SVR) is a machine learning technique for regression tasks. It extends the principles of Support Vector Machines (SVM) from...

## Support Vector Machines (SVM) In Machine Learning Made Simple & How To Tutorial

What are Support Vector Machines? Machine learning algorithms transform raw data into actionable insights. Among these algorithms, Support Vector Machines (SVMs) stand out as a core algorithm for...

## Weight Decay In Machine Learning And Deep Learning Explained & How To Tutorial

What is Weight Decay in Machine Learning? Weight decay is a pivotal technique in machine learning, serving as a cornerstone for model regularisation. As algorithms become increasingly complex and...

## Cosine Annealing In Machine Learning Simplified: Understand How It Works

What is Cosine Annealing? In the vast landscape of optimisation algorithms lies a hidden gem that has been gaining increasing attention in recent years: cosine annealing. Optimisation algorithms are...

## Collaborative Filtering In Machine Learning Made Simple [6 Different Approaches]

What is Collaborative Filtering? In today's digital era, where we are inundated with overwhelming information and choices, recommendation systems have become indispensable. From suggesting movies to...

## Online Machine Learning Explained & How To Build A Powerful Adaptive Model

What is Online Machine Learning? Online machine learning, also known as incremental or streaming learning, is a type of machine learning in which models are updated continuously as new data becomes...