What is a Machine Learning?
Definition
Algorithms enabling software to learn from data patterns without explicit programming including supervised learning, unsupervised learning, and reinforcement learning. Machine learning powers predictions, recommendations, anomaly detection, and automated optimization."
Why This Matters
Machine learning enables predictions, recommendations, and optimization. Effective ML requires quality training data and ongoing maintenance. Some 'ML-powered' features use simpler rule-based logic.
Related Terms
Showing semantically related terms from our RFP knowledge graph. Priority connections are highlighted.
Essential Connections
AI Capabilities
Software Features & Capabilities
Artificial intelligence and machine learning features including predictive analytics, natural language processing, recommendation engines, automated decision-making, and intelligent automation.
Predictive Analytics
Software Features & Capabilities
Data analysis using statistical algorithms and machine learning to forecast future outcomes based on historical patterns.
Analytics
Software Features & Capabilities
Data analysis functionality providing insights into usage patterns, performance metrics, trends, and predictions through statistical analysis and machine learning.
Automation
Software Features & Capabilities
Technology executing repetitive tasks without human intervention including workflow automation, process automation, and robotic process automation (RPA).
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Related RFP Templates
These 3 templates include questions about machine learning
