Google Cloud Platform (GCP) and machine learning, GCP offers a wide range of services and tools for machine learning and data analysis. Some of the key services for machine learning on GCP include:

1. Google Cloud AI Platform: This is a managed service that allows you to build, deploy, and manage machine learning models at scale. It supports both training and prediction, and you can use popular machine learning frameworks like TensorFlow, scikit-learn, and XGBoost.
2. Google Cloud AutoML: AutoML provides a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality custom models with minimal effort and machine learning expertise.
3. Google Cloud Dataflow: This service helps in processing and analyzing data in real-time using Apache Beam, which is a unified programming model for both batch and stream data processing.
4. TensorFlow on GCP: TensorFlow is an open-source machine learning framework developed by Google. GCP provides a managed TensorFlow service that allows you to run your TensorFlow models on Google’s infrastructure.
5. BigQuery ML: This service allows you to build machine learning models directly inside Google BigQuery using SQL. It’s great for building models on large datasets stored in BigQuery.
6. Google Cloud Vision, Video, and Speech APIs: These APIs allow you to integrate pre-trained machine learning models for image and video analysis, as well as speech recognition, into your applications.