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Polong Lin

Developer Advocate, BigQuery ML at Google

Polong is a Senior Developer Advocate for Google Cloud, with a focus on the intersection of big data, data science and machine learning. He has taught data science to hundreds of thousands of learners online.

Deep Dive on Time Series Forecasting and Anomaly Detection With BigQuery ML

Time series forecasting is a powerful way to use current or historical data to monitor, clarify, and predict “cause and effect” behaviors which can better inform future decisions. Anomaly detection for a time series can detect critical incidents such as fraudulent behaviors or potential opportunities such as changes in consumer buying patterns. Join this talk, to see the newest features in BigQuery ML in action and simplify your workflow in time forecasting and anomaly detection.

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