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Launching into Machine Learning

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Launching into Machine Learning

magic_button Machine Learning Pipeline Machine Learning Machine Learning Models
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32 Stunden Einsteiger universal_currency_alt 20 Guthabenpunkte

The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.

Schließen Sie diese Aktivität ab und holen Sie sich ein Abzeichen! Treiben Sie Ihre Karriere in der Cloud voran, indem Sie allen zeigen, welche Kompetenzen Sie entwickelt haben.

Skill-Logo für Launching into Machine Learning
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Kursinformationen
Ziele
  • Describe how to improve data quality and perform exploratory data analysis
  • Build and train AutoML Models using Vertex AI and BigQuery ML
  • Optimize and evaluate models using loss functions and performance metrics
  • Create repeatable and scalable training, evaluation, and test datasets
Voraussetzungen
Familiarity with Python or other programming languages
Zielgruppe
  • Aspiring machine learning data scientists and engineers
  • Machine learning scientists, data scientists, and data analysts
  • Data engineers
Verfügbare Sprachen
English, español (Latinoamérica), 日本語, français, 한국어 und português (Brasil)
Vorschau