When approaching machine learning operations, the options can be overwhelming. There may be multiple solutions available for each step in the process, and the most popular (usually open source tools) may not necessarily be good or easy to use, but they are free.
A flexible, automated analytic workflow tool that integrates with BigQueryML allows no-code forecasting and model training.
How BigQuery’s ML inference engine can be used to run inferences against unstructured data in BigQuery using Vertex AI pre-trained models.
Step-by-step instructions for building an image classifier with ResNet, Cloud Storage and BQML.
00:00 - Intro
01:29 - Remotely Executing Task
06:49 - Model Repository
09:10 - Workers and Queues
17:27 - Workers on K8s
19:14 - Pipelines
31:20 - Triggerscheduler
39:05 - Github CI/CD Templates
39:36 - Outro