Alongside the rapidly growing ML domain many business units still use simple regression models to make estimations. Building these models used to require downloading a sample of the data from a data warehouse to an analytical tool.



With BigQuery ML, you can build linear/logistic regression (binary or multi-class) without leaving the data warehouse environment and training it on massive datasets.



During this meetup, Gad Benram, DoiT International ML Engineering Lead is going to demonstrate how to build, train and use your own scalable machine learning models using standard SQL language!



During the Q&A session, you will be able to ask Gad and the panel your questions on Machine Learning in general, Algorithmes, ML Pipelines etc.