DataHour: Building Machine Learning Models in BigQuery

DataHour Recording

About the DataHour:

SQL has evolved beyond its relational origins to support non-relational abstractions like arrays, JSON, and geospatial data types etc so it shouldn’t surprise us that SQL is now being used to build and serve machine learning models. 

In this DataHour Dan will review how Google Cloud BigQuery supports regression, classification, forecasting, dimensionality reduction, and collaborative filtering. Feature processing, hyperparameter tuning, and evaluation functions will also be covered. The session concludes with a discussion of good practices for building and serving ML models in Google Cloud BigQuery. 

Prerequisites: Basics knowledge of SQL.

Who is this DataHour for?

• Students & Freshers who want to build a career in the Data-tech domain.
• Working professionals who want to transition to the Data-tech domain.
• Data science professionals who want to accelerate their career growth

Speaker:

Dan Sullivan

Principal Data Architect at 4 Mile Analytics

Dan Sullivan is a Cloud and data architect with extensive experience in data architecture, data science, machine learning, stream processing, and cloud architecture.He is currently working as Principal Data Architect with 4 Mile Analytics. He is well capable of starting with vague initiatives and formulating precise objectives, strategies, and implementation plans. He regularly works with C-level and VP executives while also mentoring and coaching software engineers. He is also the author of the official Google Cloud study guides for the Professional Architect, Professional Data Engineer, and Associate Cloud Engineer.

Connect with Dan at: https://www.linkedin.com/in/dansullivanpdx/