External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Utiliser BigQuery Machine Learning pour l'inférence

Coursera · Beginner ·🔄 Data Engineering ·3mo ago

Key Takeaways

Uses BigQuery Machine Learning for inference, including why data analysts should use it, its use cases, and compatible ML models

Original Description

Découvrez BigQuery ML pour l'inférence, pourquoi les analystes de données devraient s'en servir, ses cas d'utilisation et les modèles de ML compatibles. Apprenez également à créer des modèles de ML et à les gérer dans BigQuery.

Watch on External: Coursera ↗ (saves to browser)

Sign in to unlock AI tutor explanation · ⚡30

Related Reads

What Can We Do When Memory Becomes the New Bottleneck in Data Engineering?

Learn how to overcome memory bottlenecks in data engineering using Pandas chunking, Dask, and Polars, and why it matters for processing large datasets

Towards Data Science

Migrate from Ponder to Envio HyperIndex

Learn to migrate your indexer from Ponder to Envio HyperIndex to scale your data management

Dev.to · Envio

Data Backfilling with Apache Airflow: Architectures and Implementations for Historical Data Processing

Learn how to implement data backfilling with Apache Airflow for historical data processing and improve your data pipeline's accuracy and reliability

Dev.to · Wangila russell

Building a Production-Style Weather Analytics Pipeline from Scratch: ETL, ELT, Star Schema, and…

Learn to build a production-ready weather analytics pipeline from scratch using Python, DuckDB, and Apache tools, and understand the importance of ETL, ELT, and Star Schema in data engineering

Medium · Python

A Moment Frozen in Time | Arnav Iyengar | TEDxJenks Youth