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...
The Natural Language Processing (NLP) Blog
Topic: Machine Learning
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]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/05/decision-tree-example.jpg?fit=1200%2C675&ssl=1)
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]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/05/techniques-bias-detection.jpg?fit=1440%2C810&ssl=1)
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...
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...
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]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/04/user-based-collaborative-filtering.jpg?fit=1200%2C675&ssl=1)
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...
Data Drift In Machine Learning Explained: How To Detect & Mitigate It
What is Data Drift Machine Learning? In machine learning, the accuracy and effectiveness of models heavily rely on the quality and consistency of the data on which they are trained. However, in...
Classification Metrics In Machine Learning Explained & How To Tutorial In Python
What are Classification Metrics in Machine Learning? In machine learning, classification tasks are omnipresent. From spam detection in emails to medical diagnosis and sentiment analysis in social...
10 Regression Metrics For Machine Learning & Practical How To Guide
What are Evaluation Metrics for Regression Models? Regression analysis is a fundamental tool in statistics and machine learning used to model the relationship between a dependent variable and one or...
![Bagging, Boosting & Stacking Made Simple [3 How To Tutorials In Python]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/03/bagging-boosting-stacking.jpg?fit=1200%2C675&ssl=1)
Bagging, Boosting & Stacking Made Simple [3 How To Tutorials In Python]
What is Bagging, Boosting and Stacking? Bagging, boosting and stacking represent three distinct ensemble learning techniques used to enhance the performance of machine learning models. Bagging,...
Top 9 Performance Metrics In Machine Learning & How To Use Them
Why Do We Need Performance Metrics In Machine Learning? In machine learning, the ultimate goal is to develop models that can accurately generalize to unseen data and make reliable predictions or...
Stochastic Gradient Descent (SGD) In Machine Learning Explained & How To Implement
Understanding Stochastic Gradient Descent (SGD) In Machine Learning Stochastic Gradient Descent (SGD) is a pivotal optimization algorithm widely utilized in machine learning for training models....
Multilayer Perceptron Explained And How To Train & Optimise MLPs
What is a Multilayer perceptron (MLP)? In artificial intelligence and machine learning, the Multilayer Perceptron (MLP) stands as one of the foundational architectures, wielding remarkable...
