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: Tutorial
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...
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...
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...
![Natural Language Search Explained [10 Powerful Tools & How To Tutorial In Python]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2022/10/Ontwerp-zonder-titel-8.jpg?fit=600%2C338&ssl=1)
Natural Language Search Explained [10 Powerful Tools & How To Tutorial In Python]
What is Natural Language Search? Natural language search refers to the capability of search engines and other information retrieval systems to understand and interpret human language in its natural...
![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...
![Bayesian Network Made Simple [How It Is Used In Artificial Intelligence & Machine Learning]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/02/bayesian-netowork-node-edges.jpg?fit=1920%2C1080&ssl=1)
Bayesian Network Made Simple [How It Is Used In Artificial Intelligence & Machine Learning]
What is a Bayesian Network? Bayesian network, also known as belief networks or Bayes nets, are probabilistic graphical models representing random variables and their conditional dependencies via a...
![How To Implement Speech Recognition [3 Ways & 7 Machine Learning Models]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/01/speech-recognition.jpg?fit=1200%2C675&ssl=1)
How To Implement Speech Recognition [3 Ways & 7 Machine Learning Models]
What is Speech Recognition? Speech recognition, also known as automatic speech recognition (ASR) or voice recognition, is a technology that converts spoken language into written text. The primary...
Node2Vec: Extensive Guide & How To Tutorial In Python
What is Node2Vec? Node2Vec is a popular algorithm for learning continuous representations (embeddings) of nodes in a graph. It is a technique in network representation learning, which involves...
Explainable AI Made Simple: 5 Techniques, Tools & How To Tutorials
What is Explainable AI? In today's data-driven world, artificial intelligence (AI) has revolutionised various aspects of our lives, from healthcare diagnostics to financial risk assessment. However,...
