II.
SkillArea overview
Reference · liveskill-area:machine-learning
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.
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
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