PT
English
Deutsch
Español
Français
Italiano
Nederlands
Polski
Bahasa Indonesia
Русский
Українська
العربية
עברית
日本語
한국어Feature engineering
Concept
Feature engineering is the process of transforming raw data into input variables (features) for machine learning models, for example through cleaning, aggregation and encoding.
| Tipo | Concept |
|---|
Articles about Feature engineering (4)
- Acelerando fluxos de trabalho de ciência de dados com o Azure Open Datasets
· Mirko Peters
Bem-vindo de volta ao blog complementar do podcast! Como cientistas de dados e engenheiros de analytics, gastamos um tempo astronômico localizando, limpando e formatando dados ante - Notebooks de nível de produção: barreiras de proteção e integração com Git
· Mirko Peters
Bem-vindo de volta ao blog complementar do podcast! Neste post, vamos mergulhar fundo em como você pode ir além de scripts ad hoc, tratando seus notebooks do Fabric como software d - Accelerating Data Science Workflows with Azure Open Datasets
· Mirko Peters
Welcome back to the podcast companion blog! As data scientists and analytics engineers, we spend an astronomical amount of our valuable time tracking down, cleaning… - Production-Grade Notebooks: Guardrails and Git Integration
· Mirko Peters
Welcome back to the podcast companion blog! In this post, we are diving deep into how you can move beyond ad-hoc scripting by treating your Fabric notebooks like pr…
Community wiki
Short info above, community knowledge below: add practical tips, examples or corrections. New contributions are reviewed first; trusted members publish directly.
Especialistas e empresas para este tópico
Ninguém indicou ainda este tópico. Adicione-o ao seu perfil.
Sources
- Feed for this topic (RSS): entity/feature-engineering/feed.xml
- Articles on this topic: 4
Maintained by Mirko Peters (Microsoft MVP) · Last updated: