Chi dovrebbe partecipare
- Developers
- Data Scientists
Certificazioni
Questo corso è parte della seguente certificazione:
Prerequisiti
- Familiarity with Python programming language
- Basic understanding of Machine Learning
Obiettivi del Corso
- Prepare a dataset for training
- Train and evaluate a Machine Learning model
- Automatically tune a Machine Learning model
- Prepare a Machine Learning model for production
- Think critically about Machine Learning model results
Follow On Courses
Contenuti del Corso
In this intermediate-level course, individuals learn how to solve a real-world use case with Machine Learning (ML) and produce actionable results using Amazon SageMaker. This course walks through the stages of a typical data science process for Machine Learning from analyzing and visualizing a dataset to preparing the data, and feature engineering. Individuals will also learn practical aspects of model building, training, tuning, and deployment with Amazon SageMaker. Real life use cases include customer retention analysis to inform customer loyalty programs.
Inglese 
Tedesco 
Germania
North Macedonia