Predict Taxi Fare with a BigQuery ML Forecasting Model

Organisations are generating incredible value from their data using Google Cloud's analytics platform. At the heart of the platform is Google Cloud BigQuery - a fully managed, No-Ops, low cost, petabyte scale OLAP database. With BigQuery you can query terabytes of data without having any infrastructure to manage, or needing a database administrator.

BigQuery Machine Learning is a new feature in BigQuery where data analysts can create, train, evaluate, and predict with machine learning models using standard SQL queries.

Searce and Google Cloud are hosting a Study Jam — a unique concept of coding live on a Google Cloud Platform sandbox with the industry experts where you will explore millions of New York City yellow taxi cab trips available in a BigQuery Public Dataset. You will then create a machine learning model inside of BigQuery to predict the fare of the cab ride given your model inputs.

Lastly, You will evaluate the performance of your model and make predictions with it.

This event will be hosted by:

• Franco Camba , Customer Engineer. Google Cloud UKI.
• Megha Desai, Technical Lead - Machine Learning. Searce UKI.

Agenda:

11:00 AM - 11:30 AM - Introduction to GCP, BigQuery and BigQuery Machine Learning
11:30 AM - 01:00 PM - Hands-on Lab - Predict Taxi Fare with a BigQuery ML Forecasting Model

Follow this external link to register:
https://gdg.community.dev/events/details/google-gdg-cloud-dublin-presents-predict-taxi-fare-with-a-bigquery-ml-forecasting-model/