Automation & Systems

Foundation Skills And Background Of Machine Learning

Keston Crandall
Keston Crandall
CSM, Certified AWS Cloud Practitioner

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Course Description
Machine Learning has become somewhat of a buzzword in the past many years. Everyone wants to use it; however, in order to produce the best models you must know how to clean and prepare data for a model and you need to have the right tools at your disposal. Today Spark is the leading product for data preparation and H2O.ai is an industry leader in model building. This course will teach you some of the theory behind data prep techniques, as well as how model building works. We will use Kaggle datasets throughout the course.
  • Course
    • Overview
      • Course Introduction
    • Background
      • Types of Analytics
      • Why Machine Learning?
    • Theory
      • The Bias Variance Tradeoff
      • ETL, Data Operations, Data Splits
      • Software & Spark :: Part 1
      • Software & Spark :: Part 2
    • Hands-On
      • Spark Basic :: Demonstration
Course Outline:
  • Course
    • Overview
      • Course Introduction
    • Background
      • Types of Analytics
      • Why Machine Learning?
    • Theory
      • The Bias Variance Tradeoff
      • ETL, Data Operations, Data Splits
      • Software & Spark :: Part 1
      • Software & Spark :: Part 2
    • Hands-On
      • Spark Basic :: Demonstration