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Amazon SageMaker is a machine learning solution that enables data scientists and developers to create, train and deploy machine learning models. It supports batch and online learning, and comes with pre-built algorithms for common use cases.
It has an intuitive user interface, powerful algorithms and an enterprise-grade infrastructure that allows you to build your machine learning solution without having to be an expert in cloud infrastructure or deep learning.
SageMaker also has a library of machine learning tools that you can use without having to install any other software. Cloud service features include:
H2O.ai is a machine learning software used to build and deploy predictive analytics models. H2O.ai provides an easy-to-use interface that allows users to build and train machine learning models without writing code. This can be done using built-in algorithms or by importing custom algorithms from R and Python...
IBM Watson Studio is a cognitive development tool that allows you to incorporate existing data assets into the Watson platform, create custom models using machine learning, create new services using cognitive APIs and support natural language interfaces in applications, as well as analyse, visualise and interpret data.
Watson Studio is offered as part of the IBM Cloud Pak for Data tools.
The product is designed to reduce the complexity of building and managing conversational AI applications, enabling you to build and scale AI solutions for the enterprise.
It enables the creation and management of applications for any industry, such as healthcare, retail or financial services.
IBM Watson Studio includes two main features:
