Launching into Machine Learning
About this Course
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.Created by: Google Cloud
Related Online Courses
What is this course about? This course is an engaging and comprehensive introduction to Terraform, one of the most popular tools for implementing Infrastructure as Code (IaC). It covers the... more
For an increasing number of established companies, creating new business opportunities within the company is an imperative for success. Maturing technologies and aging product portfolios are... more
The \"Robotics Engineering & Applications\" course stands as a beacon of innovation and opportunity in the realm of collaborative robotics. Comprising three dynamic modules, participants embark on... more
By taking Introduction to Logic and Critical Thinking you will improve your ability to identify, analyze, and evaluate arguments by other people (including politicians, used car salesmen, and... more
Welcome to the Deployment in GCP Course! This course is designed to provide you with comprehensive knowledge and practical skills for deploying applications and services on Google Cloud Platform... more
Powered by
