Classification
All articles
Support Vector Machine (SVM)
Margin-maximizing classifier that uses the kernel trick to handle high-dimensional and non-linear …Supervised Learning
What supervised learning is, how it works with labeled data, and when to choose it over other learning …ROC Curve
What ROC curves and AUC measure, how to interpret them, and when to use ROC versus precision-recall analysis.Random Forest
What random forests are, how they combine decision trees for robust predictions, and when they are the right …Precision and Recall
What precision and recall measure, how to choose between them, and why the tradeoff matters for …Naive Bayes
Probabilistic classification algorithm based on Bayes' theorem with strong independence assumptions, widely …Model Calibration
Techniques for producing reliable probability estimates from classifiers, including Platt scaling and isotonic …Logistic Regression
Binary and multinomial classification algorithm using the sigmoid function and log-loss optimization.K-Nearest Neighbors (KNN)
Instance-based lazy learning algorithm that classifies data points by majority vote of their nearest …Imbalanced Data
Strategies for handling skewed class distributions including SMOTE, undersampling, class weighting, and …Handling Imbalanced Data - A Practical Guide
Strategies for building effective classifiers on skewed datasets, from sampling techniques to algorithm-level …F1 Score
What the F1 score measures, when to use it as a model evaluation metric, and its limitations.Document Classification Patterns
Patterns for classifying documents by type, topic, sensitivity, and priority using AI. Multi-label …Decision Tree
What decision trees are, how they make predictions through hierarchical rules, and their role as building …Confusion Matrix
What a confusion matrix is, how to read it, and how it connects to precision, recall, and other classification …Case Pattern: AI-Assisted Legal Document Review for a Law Firm
Architecture and lessons from deploying AI to accelerate document review in litigation, reducing review time …AI Ticket Routing and Classification
Automated support ticket classification, priority assignment, and intelligent routing to the right agent or …AI Spark: Smart Document Filing and Organization
Automatically classify and file incoming documents into the right folders and categories using AI …AI Spark: Smart Customer Inquiry Routing
Use AI to analyze customer inquiries and route them to the best-qualified agent or team based on content, not …AI Spark: AI-Powered Customer Feedback Categorization
Automatically categorize and prioritize customer feedback from multiple channels using AI classification.
Open source projects