Google Developers Italia: Machine Learning in Google BigQuery

Local blog for Italian speaking developers

Machine Learning in Google BigQuery

27 agosto 2018

code { background-color: transparent }Pubblicato Umar Syed e Sergei Vassilvitskii, Research Scientist, Google AI, NYCGoogle BigQuerySQLBigQuery ML

discesa del gradiente^*stocasticarendimento scarso se i dati non sono ordinati in modo ottimalemoltopiù complessaregolarizzazionepreconditioningpaperconsole BigQueryguida per l'utenteCREATE MODEL dataset.model_name OPTIONS(model_type=’linear_reg’, input_label_cols=[‘input_label’]) AS SELECT * FROM input_table;RingraziamentiBigQuery ML è il risultato della collaborazione tra molti team di Google. Vogliamo ringraziare in particolare i seguenti contributori e sponsor: Hossein Ahmadi, Corinna Cortes, Grzegorz Czajkowski, Mingge Deng, Amir Hormati, Abhishek Kashyap, Jing Jing Long, Dan McClary, Chris Meyers, Girishkumar Sabhnani, Vivek Sharma, Jordan Tigani, Chad Verbowski, Jiaxun Wu, Lisa Yin.
* Ad esempio un vettore gradiente può essere calcolato utilizzando gli operatori SUM e GROUP BY e i carichi di un modello possono essere aggiornati utilizzando INNER JOIN.^↩

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