Google Cloud Machine Learning Engine
This is an API that creates a model in machine learning, and can work on any size and any type of data. A major use of this ML is to train a model and predict from it. The ML engine can use any model to perform large-scale analysis on a cluster for managing online and batch programming. It can support a few thousand users and performs on terabytes of data. This service can easily be combined with other services such as Dataflow, Storage, BigQuery, and so on provided by GCP. The ML Engine lets users build models using DataLab and can also build portable models that work on various devices.
The purpose of Cloud ML Engine is to train a new ML model at scale using the TensorFlow application, and the model is hosted to get predictions on a new set of data.
The ML Engine Workflow can be formatted into the following steps:
- Evaluating the problem
- Data exploration and preparation
- Model development and training
- Model testing and deployment
- Operational development and...
