Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the power of BigQuery ML in this comprehensive conference talk from GeeCON 2023. Dive into the world of machine learning within a database environment, learning how to build, train, evaluate, and predict using scalable models with SQL language in Google BigQuery. Discover common marketing use cases, including customer segmentation, product cross-sale recommendations, and conversion prediction. Gain hands-on experience in writing CREATE MODEL SQL syntax for various machine learning models such as multiclass logistic regression, K-means clustering, matrix factorization, and ARIMA time series predictions. Understand how data analysts can leverage their SQL knowledge to access and train models directly in BigQuery, enabling predictive analytics across organizations without leaving the query editor. By the end of this talk, acquire the skills to build and run machine learning models using CREATE MODEL statements, empowering everyday developers to harness the potential of BigQuery ML for informed business decision-making. Read more