Practical Data Science with Amazon SageMaker (PDSASM)
Seminar
Online
Beschreibung
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Kursart
Seminar
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Methodik
Online
-
Beginn
auf Anfrage
Familiarity with Python programming language
Basic understanding of Machine Learning
Standorte und Zeitplan
Lage
Beginn
Beginn
Hinweise zu diesem Kurs
Developers
Data Scientists
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
Meinungen
Erfolge dieses Bildungszentrums
Sämtlich Kurse sind auf dem neuesten Stand
Die Durchschnittsbewertung liegt über 3,7
Mehr als 50 Meinungen in den letzten 12 Monaten
Dieses Bildungszentrum ist seit 15 Mitglied auf Emagister
Inhalte
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.
Practical Data Science with Amazon SageMaker (PDSASM)