Applying Machine Learning to your Data with Google Cloud

Overview

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In this course, we define what machine learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML.

Syllabus

Introduction

Overview of what you will learn in this course

Introduction to Machine Learning

In this module, we define what Machine Learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels.

Pre-trained ML APIs

In this module we will dive into pre-built and pre-trained ML models that we can access (like image recognition and sentiment analysis) within Cloud Datalab.

Creating ML Datasets in BigQuery

Understand how to create ML datasets with BigQuery.

Creating ML Models in BigQuery

In this module, you will learn how to create machine learning models directly inside of BigQuery. You will learn the new syntax and work through the phases of building, evaluating, and testing an ML model.