BigQuery ML

GPTKB entity

Properties (57)
Predicate Object
gptkbp:instanceOf Machine Learning Tool
gptkbp:allows machine learning models to be created
gptkbp:developedBy gptkb:Google_Cloud
gptkbp:enables training of models on large datasets
https://www.w3.org/2000/01/rdf-schema#label BigQuery ML
gptkbp:includes linear regression
logistic regression
time series forecasting
k-means clustering
gptkbp:integratesWith BigQuery
gptkbp:isAvailableIn multiple regions
pay-as-you-go pricing
free trial
gptkbp:isCompatibleWith gptkb:Jupyter_Notebooks
Python programming
R programming
gptkbp:isCounteredBy data analysts
data scientists
gptkbp:isDocumentedIn Google Cloud documentation
gptkbp:isIntegratedWith gptkb:Google_Cloud_Functions
gptkb:Google_Cloud_Pub/Sub
gptkb:Google_Cloud_Storage
gptkb:Google_Sheets
gptkb:Google_Data_Studio
gptkb:Google_Cloud_AI_services
gptkbp:isOptimizedFor large-scale data processing
gptkbp:isPartOf gptkb:Google_Cloud_Platform
data analytics solutions
data science workflows
gptkbp:isPromotedBy Google_Cloud_marketing
gptkbp:isSuitableFor real-time analytics
petabyte-scale data
gptkbp:isSupportedBy community forums
Google_Cloud_support
gptkbp:isUsedBy research institutions
startups
enterprises
gptkbp:isUsedFor predictive analytics
risk assessment
customer segmentation
recommendation systems
anomaly detection
forecasting sales
gptkbp:isUsedIn business intelligence
data-driven decision making
gptkbp:offers user-friendly interface
model evaluation tools
batch predictions
online predictions
gptkbp:provides data visualization tools
automated machine learning capabilities
model deployment options
model monitoring capabilities
gptkbp:supports TensorFlow models
automated feature engineering
SQL_queries
gptkbp:uses BigQuery's_infrastructure