Digicloud’s article, Start using Machine Learning with Google, it’s easier than you think, explains the ML journey and how organisations at any stage of the ML journey can benefit from the power of Google Cloud ML tools!
Start using Machine Learning with Google, it’s easier than you think!
Contrary to popular belief, getting started with ML is not overly complicated or expensive. Google’s ML and AI platforms help all users take their projects from ideation to deployment, quickly and seamlessly.
Google Cloud Platform provides modern machine learning services, with pre-trained models and services to generate your own tailored models. Google’s neural net-based ML service has better training performance and increased accuracy compared to other large-scale deep learning systems. Google’s services are fast, scalable and easy to use.
Major Google applications use machine learning, including Photos (image search), the Google app (voice search), Translate and Gmail (Smart Reply). Our platform is now available as a cloud service to bring unmatched scale and speed to any company’s business applications.
Pioneering ML platform
Google Cloud Platform provides modern machine learning services, with pre-trained models and services to generate your own tailored models. Our neural net-based ML service has better training performance and increased accuracy compared to other large-scale deep learning systems, and our services are fast, scalable and easy to use. Major Google applications use machine learning, including Photos (image search), the Google app (voice search), Translate and Gmail (Smart Reply). Our platform is now available as a cloud service to bring unmatched scale and speed to any company’s business applications.
Performance and Scale
Cloud ML Engine makes it easy to build sophisticated, large-scale machine learning models for a broad set of scenarios, from regression models to image classification. It is fully managed and integrates with other GCP tools. Build your own models with TensorFlow. Pre-trained APIs designed to get started quickly. If you want to train your own custom model but lack the knowledge or resources to use TensorFlow, you can use Cloud AutoML to train your own custom ML model with limited expertise required.