When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
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...
Read MoreIn 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.
Module 1: Introduction to Machine Learning
Module 2: Introduction to Data Prep and SageMaker
Module 3: Problem formulation and Dataset Preparation
Module 4: Data Analysis and Visualization
Module 5: Training and Evaluating a Model
Module 6: Automatically Tune a Model
Module 7: Deployment / Production Readiness
Module 8: Relative Cost of Errors
Save up to $250-$2500 Use Promo Code: SurfBoard
View Details Register by September 6, 2019