Associate Data Practitioner
Unlock the power of your data in the cloud! Get hands-on with Google Cloud's core data services like BigQuery and Looker to validate your practical skills in data ingestion, analysis, and management, and earn your Associate Data Practitioner certification!
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Gauge your current knowledge
2.3 Define, train, evaluate, and use ML models
Study Guides for Sub-Sections
BigQuery ML enables machine learning directly inside BigQuery using standard SQL commands. It lets you define, train, and evaluate models without moving data to another to...
BigQuery lets you call remote functions to run pretrained Google large language models (LLMs) directly in your SQL queries. By using a remote connection to Vertex...
Model metadata management in Google Cloud’s Model Registry helps teams track, version, and deploy machine learning models in a consistent way. By storing...
BigQuery ML lets you perform inference by applying models you have already trained to new or existing data. This process generates predictions directly in...
BigQuery ML and AutoML are Google Cloud services designed to make machine learning more accessible. BigQuery ML allows users to build and run models directly using SQL.
Before starting a machine learning project on GCP, you need to set up a GCP project. You can choose an existing project or create a new one depending on your team’s needs. It is