Unsupervised learning

As explained in Financial AI in Practice

Unsupervised learning is a machine-learning approach that identifies structure or patterns in data without relying on labeled outcomes.

How Financial AI in Practice covers it

How deep it goes

Explains normal-behavior modeling and named anomaly methods, including reconstruction error, without specifying training settings or alert thresholds.

Examples

Illustrates suspicious transaction outliers, small transaction clusters, and anomalous inputs with high autoencoder reconstruction error.

What you can do after

Evaluate/understand it as an option for finding potential fraud patterns that labeled historical cases may not capture.

How it connects

Connects anomaly detection with supervised learning, clustering, autoencoders, and principal component analysis.

liveBookmanning.com

Read Financial AI in Practice on liveBook Get the book at manning.com

Also explained in

• 

  liveBookmanning.com
  Data Without LabelsAn unsupervised deep learning algorithm trains a multilayer neural model to discover structure or representations without target labels.
• 

  liveBookmanning.com
  Grokking Machine LearningA machine-learning approach in which a model discovers structure or patterns from data without target outputs.
• 

  liveBookmanning.com
  Optimization Algorithms: AI techniques for design, planning, and control problemsUnsupervised learning is a machine-learning paradigm in which a model discovers structure or patterns in data without labeled target outputs.
• 

  liveBookmanning.com
  Inside AIUnsupervised learning is a machine-learning technique in which an algorithm analyzes unlabeled data to discover patterns or groupings.
• 

  liveBookmanning.com
  Cyber Threat HuntingUnsupervised machine learning is a machine-learning paradigm that discovers patterns and structures in data without predefined labels or specific instructions.
• 

  liveBookmanning.com
  Statistics Slam DunkUnsupervised learning is a machine-learning approach that discovers structure or patterns in data without labeled target values.
• 

  liveBookmanning.com
  Investing for ProgrammersUnsupervised learning is a machine-learning approach that identifies structure or patterns in data without predefined output labels.
• 

  liveBookmanning.com
  Outlier Detection in PythonMachine learning that extracts structure, information, or patterns from data without labeled target values.
• 

  liveBookmanning.com
  The AI Pocket BookA machine learning approach that seeks patterns in unlabeled data without a target output.
• 

  liveBookmanning.com
  Machine Learning Algorithms in DepthUnsupervised learning is a machine learning paradigm that learns structure or representations from data without labeled target outputs.
• 

  liveBookmanning.com
  Natural Language Processing in Action, Second EditionUnsupervised learning is a machine-learning approach that derives patterns or representations directly from data without human-provided target labels.
• 

  liveBookmanning.com
  Grokking AI ApplicationsUnsupervised learning is a machine learning approach that discovers patterns or structure in data without labeled examples.
• 

  liveBookmanning.com
  Math and Architectures of Deep LearningA learning setup that uses training inputs without manually provided target outputs.
• 

  liveBookmanning.com
  Acing the CCNA Exam: Volume 2 Advanced Networking and SecurityUnsupervised learning is a machine-learning approach that discovers patterns or structure in data without predefined labels.
• 

  liveBookmanning.com
  Introduction to Generative AI, Second EditionUnsupervised learning is machine learning in which training data are provided without labels.
• 

  liveBookmanning.com
  Inside Deep Learning: Math, Algorithms, ModelsA learning setting in which models are trained without human-provided labels, often by exploiting structure in the data.
• 

  liveBookmanning.com
  The Art of AI Product DevelopmentUnsupervised learning is machine learning in which a model learns patterns from data without explicitly provided target labels.
• 

  liveBookmanning.com
  Advanced Algorithms and Data StructuresUnsupervised learning is machine learning that analyzes unlabeled data to discover structure or patterns without predefined categories.
• 

  liveBookmanning.com
  Software Testing with Generative AIA machine-learning approach that trains a model on unlabeled data to discover implicit patterns or structure.

Compare how 20 books explain unsupervised learning →

Related concepts

• supervised learningcontrasts with · Supervised learning is a machine-learning approach that learns to map inputs to target outputs from examples paired with known labels or values.
• K-means clusteringincludes · K-means clustering partitions data into a specified number of groups by assigning observations to representative centers and iteratively updating those centers to reduce within-group distances.
• density estimatorincludes · A density estimator is a statistical method or model that estimates the probability density underlying observed data.
• hierarchical clusteringincludes · Hierarchical clustering is a clustering method that organizes observations into nested groups by successively merging or splitting clusters.
• machine learningkind of · Machine learning is a field of computational methods in which systems learn patterns or relationships from data to make predictions, decisions, or other outputs.
• clusteringincludes · Clustering is the technique of grouping data items according to similarity or shared characteristics.

This explainer was generated by Manning's knowledge graph from the text of Financial AI in Practice. The section links point to the parts of the book it draws on.