What is regularization in Machine learning?
devquora
Posted On: May 14, 2024
Regularization is a technique used to solve the overfitting or underfitting issues in any statistical model. It is basically used to reduce fitting error in the dataset. A new piece of information is fit in the data set to minimize or reduce fitting issues.
Related Questions
Subscribe Our NewsLetter
Never Miss an Articles from us.
Recent Articles
Featured Categories
- Common Interview Questions
- Python Flask Interview Questions
- NoSQL Interview Questions
- jQuery Interview Questions
- C Programming Interview Questions
- AngularJs Interview Questions
- Node JS Interview Questions
- JavaScript Interview Questions
- Core Java Interview Questions
- HTML Interview Questions
- Laravel Interview Questions
- Wordpress Interview Questions
- PHP Interview Questions
Artificial Intelligence Interview Questions
How will you explain machine learning to a layperson?
Machine learning is pattern recognition. Like Youtube’s video recommendations, Facebook’s News Feeds, etc...
Artificial Intelligence Interview Questions
What is Breath-First Search Algorithm?
Breath-First search involves traversing a binary search tree one level at a time...
Artificial Intelligence Interview Questions
What is the difference between inductive machine learning and deductive machine learning?
Observe and learn from the set of instances and then draw conclusion..