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1. Dictionary

   regularize

   /ˈrɛɡjʊlərʌɪz/

   verb

   • 1. make (something) regular: "an electrical implant to regularize the heartbeat"
   • ▪ establish (a hitherto temporary or provisional arrangement) on an official basis: "immigrants applying to regularize their status as residents"

   Derivatives

   • 1. regularization noun

   Scrabble Points: 20

   • R

     1

   • E

     1

   • G

     2

   • U

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   • L

     1

   • A

     1

   • R

     1

   • I

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   • Z

     10

   • E

     1

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   More definitions, origin and scrabble points

2. www.analyticsvidhya.com › blog › 2018Regularization in Deep Learning with Python code - Analytics...

   www.analyticsvidhya.com › blog › 2018

   • Cached

   Jun 18, 2024 · Regularization is a technique used in machine learning and deep learning to prevent overfitting and improve the generalization performance of a model. It involves adding a penalty term to the loss function during training.

3. www.vocabulary.com › dictionary › regularisationRegularisation - Definition, Meaning & Synonyms | Vocabulary.com

   www.vocabulary.com › dictionary › regularisation

   Jul 2, 2024 · regularisation. noun. the act of bringing to uniformity; making regular. synonyms: regularization, regulation. see more. noun. the condition of having been made regular (or more regular) synonyms: regularization. see more.

4. www.analyticsvidhya.com › blog › 2022Dropout Regularization in Deep Learning - Analytics Vidhya

   www.analyticsvidhya.com › blog › 2022

   • Cached

   Jun 21, 2024 · Finding a regularize virtually comparable to a dropout layer is one method to reap the benefits of dropout in deep learning without slowing down training. This regularize is a modified variant of L2 regularization for linear regression.

5. medium.com › @vxnuaj › l1-l2-regularization-plus-dropout-a1e84L1 & L2 Regularization, plus Dropout! | by Juan Vera - Medium

   medium.com › @vxnuaj › l1-l2-regularization-plus-dropout-a1e84

   • Cached

   Jun 11, 2024 · Regularization, a blessing for it’s existence, is a technique that aims to mitigate overfitting on a dataset and variance amongst differing datasets, by penalizing complexity by modifying your loss...

6. airbyte.com › data-engineering-resources › data-quality-managementWhat Is Data Quality Management: Framework & Best Practices

   airbyte.com › data-engineering-resources › data-quality-management

   • Cached

   5 days ago · Data Quality Management involves making data more accurate, consistent, and dependable throughout its lifecycle. It is a robust framework that helps you regularly profile data sources, confirm the data's validation, and run various processes to remove data quality issues. Every firm has unique data sources, data volumes, and business goals.

7. quizlet.com › 92248585Criminal Law Ch. 4 Flashcards | Quizlet

   quizlet.com › 92248585

   • Cached

   Jul 2, 2024 · The body of rules and regulations that define and specify the nature of punishments for offenses of a public nature or for wrongs committed against the state or society. Also called Penal Law.

8. aihub.org › 2024/06/17 › how-to-regularize-your-regressionHow to regularize your regression - ΑΙhub

   aihub.org › 2024/06/17 › how-to-regularize-your-regression

   • Cached

   Jun 17, 2024 · The most common method for linear regression is “regularized least squares”, where one finds the which minimizes. Here the first term captures the error of on the training set, and the second term is a norm-based penalty to avoid overfitting (e.g. reducing impact of outliers in data).