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Pluralsight

Feature Engineering

via Pluralsight

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Overview

This course explores the benefits of using Vertex AI Feature Store, how to improve the accuracy of ML models, and how to find which data columns make the most useful features. This course also includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow.

This course explores the benefits of using Vertex AI Feature Store, how to improve the accuracy of ML models, and how to find which data columns make the most useful features. This course also includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow.

Syllabus

  • Introduction 0mins
  • Introduction 0mins
  • Introduction to Vertex AI Feature Store 32mins
  • Introduction to Vertex AI Feature Store 28mins
  • Raw Data to Features 43mins
  • Raw Data to Features 43mins
  • Feature Engineering 38mins
  • Feature Engineering 36mins
  • Preprocessing and Feature Creation 10mins
  • Preprocessing and Feature Creation 10mins
  • Feature Crosses - TensorFlow Playground 4mins
  • Feature Crosses - TensorFlow Playground 4mins
  • Introduction to TensorFlow Transform 19mins
  • Introduction to TensorFlow Transform 20mins
  • Summary 0mins
  • Summary 0mins

Taught by

Google Cloud

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