What does it mean to create algorithms that learn based on data, predict and make decisions?
Creating algorithms that learn based on data, predict outcomes, and make decisions is at the core of machine learning in the field of artificial intelligence. This process involves training models using data and allowing them to generalize patterns and make accurate predictions or decisions on new, unseen data. In the context of Google Cloud Machine
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, First steps in Machine Learning, Serverless predictions at scale
What are the steps involved in using Google Cloud Machine Learning Engine's prediction service?
The process of using Google Cloud Machine Learning Engine's prediction service involves several steps that enable users to deploy and utilize machine learning models for making predictions at scale. This service, which is part of the Google Cloud AI platform, offers a serverless solution for running predictions on trained models, allowing users to focus on
What are the primary options for serving an exported model in production?
When it comes to serving an exported model in production in the field of Artificial Intelligence, specifically in the context of Google Cloud Machine Learning and Serverless predictions at scale, there are several primary options available. These options provide different approaches to deploying and serving machine learning models, each with their own advantages and considerations.