Intégrer le machine learning à des pipelines de données renforce la capacité à dégager des insights des données. Ce cours passera en revue plusieurs façons d'intégrer le machine learning à des pipelines de données sur Google Cloud. Vous découvrirez AutoML pour les cas ne nécessitant que peu de personnalisation (voire aucune), ainsi que Notebooks et BigQuery ML pour les situations qui requièrent des capacités de machine learning plus adaptées. Enfin, vous apprendrez à utiliser des solutions de machine learning en production avec Vertex AI.

Smart Analytics, Machine Learning, and AI on GCP en Français
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Smart Analytics, Machine Learning, and AI on GCP en Français
This course is part of Data Engineer, Big Data and ML on Google Cloud en Français Specialization

Instructor: Google Cloud Training
Included with
What you'll learn
Faire la différence entre le ML, l'IA et le deep learning.
Discuter de l'utilisation des API de ML sur des données non structurées.
Exécuter des commandes BigQuery à partir de notebooks.
Créer des modèles de ML à l'aide de la syntaxe SQL dans BigQuery.
Skills you'll gain
Tools you'll learn
Details to know

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Build your subject-matter expertise
- Learn new concepts from industry experts
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There are 9 modules in this course
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