Difference between revisions of "BiqQuery ML (BQML)"

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[https://www.google.com/search?q=Google+BiqQuery+ML+AI ...Google search]
 
[https://www.google.com/search?q=Google+BiqQuery+ML+AI ...Google search]
  
* [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)]]
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* [[Development]] ... [[Notebooks]] ... [[Development#AI Pair Programming Tools|AI Pair Programming]] ... [[Codeless Options, Code Generators, Drag n' Drop|Codeless, Generators, Drag n' Drop]] ... [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] ... [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)|AIaaS/MLaaS]]
 
* [[Google]]  
 
* [[Google]]  
 
* [https://codelabs.developers.google.com/codelabs/bqml-intro/index.html?index=..%2F..index#0 Colab Getting Started with BigQuery ML]
 
* [https://codelabs.developers.google.com/codelabs/bqml-intro/index.html?index=..%2F..index#0 Colab Getting Started with BigQuery ML]

Revision as of 14:51, 4 July 2023

YouTube search... ...Google search


BigQuery ML enables users to create and execute machine learning models in BigQuery using standard SQL queries. BigQuery ML democratizes machine learning by enabling SQL practitioners to build models using existing SQL tools and skills. BigQuery ML increases development speed by eliminating the need to move data. BigQuery ML - Google

BiqQuery ML consists of a set of extensions of the SQL language that allows to create machine learning models, evaluate their predictive performance and make predictions for new data directly in BigQuery. Introduction to BigQuery ML | Pol Ferrando - Towards Data Science