Discussion
What is the inductive bias of a learning algorithm?
Answer: A
Without assumptions no generalisation from finite data is possible at all, so every learning algorithm embodies a preference, such as for smooth functions or for simple hypotheses. The choice of that bias is what makes one algorithm suit a problem better than another. Estimator bias, fairness and the generalisation gap are separate concepts sharing vocabulary. Recognising that assumption free learning is impossible is the content of the no free lunch results.
No comment is present. Be the first to comment.
Loading…
Post your comment
Please log in or register to post a comment.
Examination Categories
- SSC Exams
- Banking Exams
- Teaching Exams
- Civil Services Exams
- Railways Exams
- Engineering Recruitment Exams
- Defence Exams
- State Government Exams
- Police Exams
- Insurance Exams
- Nursing Exams
- Other Government Exams
- NRA CET
- PG Entrance Exams
- Campus Placement
- MBA Entrance Exams
- CUET and UG Entrance
- Judiciary Exams
- Regulatory Body Exams
- Software Development