Practical Data Science with Amazon SageMaker - ENGLISH - AWSS07-E

Beschreibung

In this intermediate-level course, you will 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 case includes customer retention analysis to inform customer loyalty programs.
 

Using Amazon SageMaker, this course teaches you how to:

  • 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.

error_outline Wichtige Information

This course is held in English!

expand_more chevron_right Zielgruppe

  • Developers
  • Data Scientists

    expand_more chevron_right Vorkenntnisse

    • Familiarity with Python programming language
    • Basic understanding of Machine Learning

    expand_more chevron_right Detail-Inhalte

    Day One


    Module 1: Introduction to machine learning
    • Types of ML
    • Job Roles in ML
    • Steps in the ML pipeline

    Module 2: Introduction to data prep and SageMaker
    • Training and test dataset defined
    • Introduction to SageMaker
    • Demonstration: SageMaker console
    • Demonstration: Launching a Jupyter notebook

    Module 3: Problem formulation and dataset preparation
    • Business challenge: Customer churn
    • Review customer churn dataset 

    Module 4: Data analysis and visualization
    • Demonstration: Loading and visualizing your dataset
    • Exercise 1: Relating features to target variables
    • Exercise 2: Relationships between attributes
    • Demonstration: Cleaning the data 

    Module 5: Training and evaluating a model
    • Types of algorithms
    • XGBoost and SageMaker
    • Demonstration: Training the data
    • Exercise 3: Finishing the estimator definition
    • Exercise 4: Setting hyper parameters
    • Exercise 5: Deploying the model
    • Demonstration: hyper parameter tuning with SageMaker
    • Demonstration: Evaluating model performance

    Module 6: Automatically tune a model
    • Automatic hyper parameter tuning with SageMaker
    • Exercises 6-9: Tuning jobs

    Module 7: Deployment / production readiness
    • Deploying a model to an endpoint
    • A/B deployment for testing
    • Auto Scaling
    • Demonstration: Configure and test auto scaling
    • Demonstration: Check hyper parameter tuning job
    • Demonstration: AWS Auto Scaling
    • Exercise 10-11: Set up AWS Auto Scaling

    Module 8: Relative cost of errors
    • Cost of various error types
    • Demo: Binary classification cutoff 

    Module 9: Amazon SageMaker architecture and features
    • Accessing Amazon SageMaker notebooks in a VPC
    • Amazon SageMaker batch transforms
    • Amazon SageMaker Ground Truth
    • Amazon SageMaker Neo
    • expand_more chevron_right event_available 17.04.2023 17.04.2023 timer 1 Tag roomETC-Wien Als Live-Stream verfügbaronline_predictionLive-Stream
      • expand_more chevron_right ETC Classroom - im Seminarzentrum 805,00
        • Ihr ILT Seminar (Instructor Led Training)
        • Seminarunterlagen, Teamwork, Labs
        • Verpflegung vorort
        • Seminar-Services
      • expand_more chevron_right ETC>Live - Virtual Classroom 805,00
        • Online Training – aber live beim Seminar dabei
        • Keine Anfahrt ins Seminarzentrum notwendig
        • ETC>Live  Support und Hotline
        • ETC-Services

         

    • expand_more chevron_right event_available 16.10.2023 16.10.2023 timer 1 Tag roomETC-Wien Als Live-Stream verfügbaronline_predictionLive-Stream
      • expand_more chevron_right ETC Classroom - im Seminarzentrum 805,00
        • Ihr ILT Seminar (Instructor Led Training)
        • Seminarunterlagen, Teamwork, Labs
        • Verpflegung vorort
        • Seminar-Services
      • expand_more chevron_right ETC>Live - Virtual Classroom 805,00
        • Online Training – aber live beim Seminar dabei
        • Keine Anfahrt ins Seminarzentrum notwendig
        • ETC>Live  Support und Hotline
        • ETC-Services