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What does regularization mean?
Definitions of regularization. the act of bringing to uniformity; making regular. synonyms: regularisation, regulation. type of: control. the activity of managing or exerting control over something.
Which is correct Regularisation or regularization?
As nouns the difference between regularization and regularisation. is that regularization is the act of making regular, of regularizing while regularisation is regularization.
What is the meaning of regularization of employees?
the act of changing a situation or system so that it follows laws or rules, or is based on reason: They are demanding higher wages and the regularization of their working conditions. the regularization of undocumented workers.
What is the meaning of JAMB regularization?
The Joint Admission Matriculation Board, JAMB Regularization is the process of ensuring that the Board validates candidates current admission details with the school that offered admission to such candidates. JAMB regularization is also known as ‘LATE APPLICATION’ on JAMB website.
Is regularization a word?
reg·u·lar·ize To make regular; cause to conform.
Is JAMB regularization compulsory?
It is compulsory for all graduates to be cleared by Joint Admission and Matriculation Board (JAMB) to qualify for mobilization by the NYSC. The JAMB regularization for 2017 NYSC Registration is also called late application and it attracts a fee of N10,000.
What is regularization in regression?
Regularization is a way to avoid overfitting by penalizing high regression coefficients, it can be seen as a way to control the trade-off between bias and variance in favor of an increased generalization.
What is regularization in machine learning?
In mathematics, statistics, and computer science, particularly in machine learning and inverse problems, regularization is the process of adding information in order to solve an ill-posed problem or to prevent overfitting. Regularization applies to objective functions in ill-posed optimization problems.
What is L2 regularization?
L2 Regularization. In L2 regularization, regularization term is the sum of square of all feature weights as shown above in the equation. L2 regularization forces the weights to be small but does not make them zero and does non sparse solution.