Launching into Machine Learning

The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.

The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.

• Introduction 0mins
• Introduction 0mins
• Get to Know Your Data: Improve Data through Exploratory Data Analysis 56mins
• Get to Know Your Data: Improve Data through Exploratory Data Analysis 52mins
• Machine Learning in Practice 45mins
• Machine Learning in Practice 45mins
• Training AutoML Models Using Vertex AI 30mins
• Training AutoML Models Using Vertex AI 30mins
• BigQuery Machine Learning: Develop ML Models Where Your Data Lives 30mins
• BigQuery Machine Learning: Develop ML Models Where Your Data Lives 30mins
• Optimization 57mins
• Optimization 57mins
• Generalization and Sampling 28mins
• Generalization and Sampling 28mins
• Summary 0mins
• Summary 0mins