Practical Data Science with Amazon SageMaker
REF: PDCAWS Catálogo: AWS Área: Machine Learning Path
Duração:
1 dia
Próxima Data:
Consulte-nos
Local:
Descrição
In this intermediate-level course, you will learn how to solve a real-world use case with machine learning (ML) and generate actionable, actionable results with Amazon SageMaker. This course covers the steps of a typical data science process for machine learning, from analyzing and visualizing a data set to data preparation and feature engineering. Attendees will also learn the practical aspects of building, training, tuning, and deploying a model with Amazon SageMaker. The real-world use case involves analyzing customer loyalty to design customer loyalty programs.
*PVP por participante. A realização do curso nas datas apresentadas está sujeita a um quórum mínimo de inscrições.
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Área: AWS
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Destinatários: - Developers - Data scientist - Data analyst - Machine learning - Sage maker
Programa:
What you will learn:
- Preparing a dataset for training
- Training and evaluating a machine learning model
- Automatically optimizing a machine learning model
- Preparing a Machine Learning Model for Production
- And much more
Pré-requisitos:
- Knowledge of Python programming language
- Basic understanding of Machine Learning processes
Partilha:
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