MapReduceによる大規模データを利用した機械学習【DL輪読会】言語以外でのTransformerのまとめ (ViT, Perceiver, Frozen Pretrained Transformer etc)
The CREATE MODEL statement | BigQuery | Google Cloud
Stay organized with collections Save and categorize content based on your preferences. The CREATE MODEL statement To create a model in BigQuery, use the BigQuery ML CREATE MODEL statement. This statement is similar to the CREATE TABLE DDL statement. When you run a query that contains a CREATE MODEL statement, a query job is generated for you that processes the query. You can also use the Google Cl
Introduction to AI and ML in BigQuery | Google Cloud
Stay organized with collections Save and categorize content based on your preferences. Introduction to AI and ML in BigQuery BigQuery ML lets you create and run machine learning (ML) models by using either GoogleSQL queries or the Google Cloud console. BigQuery ML models are stored in BigQuery datasets, similar to tables and views. BigQuery ML also lets you access Vertex AI models and Cloud AI API
Apache Spark - Wikipedia
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming clusters with implicit data parallelism and fault tolerance. Originally developed at the University of California, Berkeley's AMPLab starting in 2009, in 2013, the Spark codebase was donated to the Apache Software Foundation, which has maintained it since. Apache Spa
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Apache Spark™ - Unified Engine for large-scale data analytics
cloudera/oryx · GitHub
