Inductive Bias
Definition of
Inductive Bias
Inductive Bias, also known as learning bias, is a set of assumptions used by a learner to predict outputs and given inputs that have not yet been encountered. In machine learning, it aims to construct algorithms with the ability to learn to predict certain target outputs.
Related Terms
Related Services
Related Industries
Stay in the Loop!
Related Content
Call Center Outsourcing: How to Plan, Evaluate and Run It
Plan, evaluate, and run call center outsourcing with a clear framework for vendor selection, SLAs, 24/7 coverage, training, and quality assurance.
Ethical Supply Chain: Your Reputation Extends to Your Outsourced Teams
Explore how ethical outsourcing protects your brand through fair wages, safe working conditions, mental health support, and end-to-end compliance.
Scalable Data Labeling Solutions: Growing Teams Without Compromising Quality
Learn how to scale data labeling for ML without sacrificing quality through double-pass annotation, AI integration, dedicated teams, continuous training, and strong project management.
.webp)
AI Summit Barcelona: Why AI Systems Need People to Succeed
AI works behind the scenes to filter spam, answer tickets, and moderate content. But the best companies still rely on people to catch mistakes and improve AI.
How to Ask for Reviews Using "If You Are Satisfied With Our Services"
Explore 7 practical ways to use “if you are satisfied with our services” in review requests, feedback emails, SMS messages, and customer follow-ups.
Service Level Agreement KPI Guide for Operations Teams
Master every service level agreement KPI that matters for support, moderation, and data operations. Includes targets, formulas, and sample SLA clauses.