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Feature Engineering
  • Level Professional
  • Duration 8 hours
  • Course by Google Cloud
  • Offered by

About

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.

Modules

Introduction to Course

    • 1 Videos
Show info about module content

1 Videos

  • Course introduction

Introduction to Vertex AI Feature Store: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Feature Store Benefits

    • 1 Videos
Show info about module content

1 Videos

  • Feature Store benefits

Feature Store Terminology and Concepts

    • 1 Videos
Show info about module content

1 Videos

  • Feature Store terminology and concepts

The Feature Store Data Model

    • 1 Videos
Show info about module content

1 Videos

  • The Feature Store data model

Creating a Feature Store

    • 1 Videos
Show info about module content

1 Videos

  • Creating a Feature Store

Serving Features: Batch and online

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Introduction to Vertex AI Feature Store

1 Videos

  • Serving features: Batch and online

1 Readings

  • Resources: Introduction to Vertex AI Feature Store

Raw Data to Features: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Overview

    • 2 Videos
Show info about module content

2 Videos

  • Overview of feature engineering
  • Raw data to features

Feature attributes

    • 5 Videos
Show info about module content

5 Videos

  • Good features versus bad features
  • Features should be known at prediction-time
  • Features should be numeric
  • Features should have enough examples
  • Bringing human insight

Representing Features

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Raw Data to Features

1 Videos

  • Representing features

1 Readings

  • Resources: Raw Data to Features

Feature Engineering: Module Introduction

    • 2 Videos
Show info about module content

2 Videos

  • Introduction
  • Machine learning versus statistics

Feature Engineering in BigQuery ML

    • 5 Videos
    • 1 ExternalTool
Show info about module content

1 External Tool

  • Lab: Performing Basic Feature Engineering in BigQuery ML

5 Videos

  • Basic feature engineering
  • Coursera: Getting Started with Google Cloud Platform and Qwiklabs
  • Lab intro: Performing Basic Feature Engineering in BigQuery ML
  • Advanced feature engineering: Feature crosses
  • Bucketize and Transform Functions

Feature Engineering in Keras

    • 5 Videos
    • 1 Readings
    • 2 ExternalTool
    • 1 Assignment
Show info about module content

1 Assignment

  • Feature Engineering

2 External Tool

  • Lab: Basic Feature Engineering in Keras
  • Lab: Advanced Feature Engineering in Keras

5 Videos

  • Predict housing prices
  • Estimate taxi fare
  • Temporal and geolocation features
  • Lab intro: Basic Feature Engineering in Keras
  • Lab intro: Advanced Feature Engineering in Keras

1 Readings

  • Resources: Feature Engineering

Preprocessing and Feature Creation: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Apache Beam and Dataflow

    • 2 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Preprocessing and Feature Creation

2 Videos

  • Apache Beam and Dataflow
  • Dataflow terms and concepts

1 Readings

  • Resources: Preprocessing and Feature Creation

Feature Crosses - TensorFlow Playground: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Feature Crosses

    • 4 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Feature Crosses - TensorFlow Playground

4 Videos

  • What is a feature cross
  • Discretization
  • Lab intro: TensorFlow Playground: Use feature crosses to create a good classifier
  • Lab intro: TensorFlow Playground: Too much of a good thing

1 Readings

  • Resources: Feature Crosses - TensorFlow Playground

Introduction to TensorFlow Transform: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

TensorFlow Transform

    • 4 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Introduction to TensorFlow Transform

4 Videos

  • TensorFlow Transform
  • Analyze phase
  • Transform phase
  • Supporting serving

1 Readings

  • Resources: Introduction to TensorFlow Transform

Summary

    • 4 Readings
Show info about module content

4 Readings

  • Summary
  • Resource: All quiz questions
  • Resource: All readings
  • Resource: All slides

Auto Summary

Unlock the potential of your machine learning models with the "Feature Engineering" course, designed for data science and AI enthusiasts. Led by expert instructors on Coursera, this professional-level program delves into the advantages of utilizing Vertex AI Feature Store to enhance model accuracy. Throughout the course, you'll gain hands-on experience in identifying the most impactful data features and refining your feature engineering skills using powerful tools like BigQuery ML, Keras, and TensorFlow. With a comprehensive duration of 480 minutes, this course offers a thorough exploration of advanced techniques to elevate your data science projects. Ideal for professionals seeking to deepen their expertise, the course is available under the Starter subscription plan, providing accessible learning opportunities for those committed to advancing their machine learning proficiency. Join now to transform your approach to feature engineering and drive superior outcomes in your AI endeavors.

Google Cloud Training
Instructor

Google Cloud Training