Launching into Machine Learning
Offered By: Pluralsight
Course Description
Overview
The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis.
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.
Taught by
Google Cloud
Related Courses
Launching into Machine Learning 日本語版Google Cloud via Coursera Launching into Machine Learning auf Deutsch
Google Cloud via Coursera Launching into Machine Learning en Français
Google Cloud via Coursera Launching into Machine Learning en Español
Google Cloud via Coursera Основы машинного обучения
Higher School of Economics via Coursera