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Agentic AI Atlas · Machine Learning
skill-area:machine-learninga5c.ai
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skill-area:machine-learning

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Machine Learning overview

Building and training machine learning models — supervised and unsupervised learning, feature engineering, model selection, hyperparameter tuning, and experiment tracking using scikit-learn, PyTorch, and TensorFlow.

SkillAreaOutgoing · 27Incoming · 10

Attributes

displayName
Machine Learning
description
Building and training machine learning models — supervised and unsupervised learning, feature engineering, model selection, hyperparameter tuning, and experiment tracking using scikit-learn, PyTorch, and TensorFlow.
domains
  • domain:data-science
expertiseLevels
  • intermediate
  • expert

Outgoing edges

applies_to1
  • domain:data-science·DomainData Science
prerequisite_for_learning26
  • skill-area:natural-language-processing·SkillAreaNatural Language Processing
  • skill-area:model-evaluation·SkillAreaModel Evaluation & Selection
  • skill-area:computer-vision·SkillAreaComputer Vision
  • skill-area:deep-learning-libraries·SkillAreaDeep Learning Libraries and Services
  • skill-area:machine-learning-frameworks·SkillAreaMachine Learning Frameworks
  • skill-area:bias-fairness-analysis·SkillAreaBias and Fairness Analysis
  • skill-area:explainability-interpretation·SkillAreaExplainability and Interpretation
  • skill-area:model-serving-deployment·SkillAreaModel Serving and Deployment
  • skill-area:model-serving-operations·SkillAreaModel Serving
  • skill-area:ml-fine-tuning·SkillAreaML Fine-Tuning
  • skill-area:feature-engineering-pipelines·SkillAreaData and Feature Engineering Pipelines
  • skill-area:model-registry-management·SkillAreaAutomated Training and Model Registry
  • skill-area:hyperparameter-tuning-experiment-management·SkillAreaHyperparameter Tuning and Experiment Management
  • skill-area:automated-retraining·SkillAreaAutomated Retraining
  • skill-area:ml-governance-compliance·SkillAreaML Governance and Compliance
  • skill-area:ci-cd-ml-pipelines·SkillAreaCI/CD for ML Pipelines
  • skill-area:model-monitoring-drift-detection·SkillAreaModel Monitoring and Drift Detection
  • skill-area:model-optimisation·SkillAreaModel Optimisation
  • skill-area:training-data-testing·SkillAreaTraining Data Testing
  • skill-area:bias-fairness-testing·SkillAreaBias and Fairness Testing
  • skill-area:model-robustness-testing·SkillAreaModel Robustness Testing
  • skill-area:inference-performance-testing·SkillAreaInference Performance Testing
  • skill-area:model-explainability-testing·SkillAreaModel Explainability Testing
  • skill-area:ml-pipeline-testing·SkillAreaML Pipeline Testing
  • skill-area:model-validation-testing·SkillAreaModel Validation Testing
  • skill-area:data-science-experimentation·SkillAreaData Science Experimentation

Incoming edges

library_used_by5
  • library:hf-transformers·LibraryHugging Face Transformers
  • library:scikit-learn·Libraryscikit-learn
  • library:pytorch·LibraryPyTorch
  • library:tensorflow·LibraryTensorFlow
  • library:jax·LibraryJAX
prerequisite_for_learning1
  • skill-area:data-analysis·SkillAreaData Analysis
tool_used_by1
  • tool:huggingface·ToolHugging Face
used_for3
  • tool:databricks·ToolDatabricks
  • tool:feast·ToolFeast
  • tool:huggingface·ToolHugging Face

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