Classification
All articles
20 total
AI Spark: AI-Powered Customer Feedback Categorization
Automatically categorize and prioritize customer feedback from multiple …
Ideas
Added 28 Mar
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Upd 30 May
·2 min
AI Spark: Smart Customer Inquiry Routing
Use AI to analyze customer inquiries and route them to the …
Ideas
Added 28 Mar
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Upd 30 May
·2 min
AI Spark: Smart Document Filing and Organization
Automatically classify and file incoming documents into the right …
Ideas
Added 28 Mar
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Upd 30 May
·2 min
AI Ticket Routing and Classification
Automated support ticket classification, priority assignment, and …
Solutions
Added 28 Mar
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Upd 30 May
·3 min
Case Pattern: AI-Assisted Legal Document Review for a Law Firm
Architecture and lessons from deploying AI to accelerate document review …
Case Patterns
Added 28 Mar
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Upd 30 May
·3 min
Confusion Matrix
What a confusion matrix is, how to read it, and how it connects to …
Glossary
Added 28 Mar
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Upd 30 May
·2 min
Decision Tree
What decision trees are, how they make predictions through hierarchical …
Glossary
Added 28 Mar
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Upd 30 May
·2 min
Document Classification Patterns
Patterns for classifying documents by type, topic, sensitivity, and …
Patterns
Added 28 Mar
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Upd 30 May
·3 min
F1 Score
What the F1 score measures, when to use it as a model evaluation metric, …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Handling Imbalanced Data
A Practical Guide
Guides
Added 28 Mar
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Upd 30 May
·5 min
Imbalanced Data
Strategies for handling skewed class distributions including SMOTE, …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
K-Nearest Neighbors (KNN)
Instance-based lazy learning algorithm that classifies data points by …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Logistic Regression
Binary and multinomial classification algorithm using the sigmoid …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Model Calibration
Techniques for producing reliable probability estimates from …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Naive Bayes
Probabilistic classification algorithm based on Bayes' theorem with …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Precision and Recall
What precision and recall measure, how to choose between them, and why …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Random Forest
What random forests are, how they combine decision trees for robust …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
ROC Curve
What ROC curves and AUC measure, how to interpret them, and when to use …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Supervised Learning
What supervised learning is, how it works with labeled data, and when to …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Support Vector Machine (SVM)
Margin-maximizing classifier that uses the kernel trick to handle …
Glossary
Added 28 Mar
·
Upd 30 May
·3 min
Open source projects