AI/ML Bootcamp
Fraudfinder Lab - Real-time fraud detection system on Google Cloud
About This Talk
Learn how to read historical payment transactions data stored in a data warehouse, read from a live stream of new transactions, perform exploratory data analysis (EDA), do feature engineering, ingest features into a feature store, train a model using feature store, register your model in a model registry, evaluate your model, deploy your model to an endpoint, do real-time inference on your model with feature store, and monitor your model.
Speakers
Benazir Fateh
Machine Learning Specialist
Google
Benazir works as a ML specialist at Google Cloud helping Google Cloud's largest customers transform their businesses by solving problems that they face with creating scalable, end to end machine learning solutions. Benazir earned a PhD degree in Computer Engineering from Iowa State University in May 2013 and was awarded the Young Alumni Award from ISU in 2021. She is originally from India and currently resides in the San Francisco bay area
Alok Pattani
Data Science Developer Advocate
Google
Alok is a Data Science Developer Advocate at Google, where he demonstrates how to use Google Cloud tools for data science, turning data to insights at scale. He is a sports analytics expert and has played an integral role in Google Cloud's partnerships with the NCAA, MLB, and others.