Notes:
Machine learning as a service (MLaaS) is a cloud-based model for delivering machine learning services and capabilities. MLaaS providers offer machine learning algorithms, models, and tools as a service, allowing developers and organizations to easily and cost-effectively access and use machine learning capabilities without the need to build and maintain their own infrastructure and expertise.
MLaaS providers typically offer a range of machine learning services and capabilities, including pre-trained models, custom model training and deployment, and tools for data preparation, model evaluation, and deployment. MLaaS providers also often provide APIs and other integration tools to enable developers to easily integrate machine learning capabilities into their applications and systems.
MLaaS providers typically operate on a pay-as-you-go or subscription-based model, allowing customers to easily scale their usage of machine learning services up or down based on their needs and budget. This can help to reduce the cost and complexity of implementing and using machine learning, and to make it more accessible to a wider range of developers and organizations.
Wikipedia:
See also:
Active Learning & Dialog Systems | Agent Building and Learning Environment (ABLE) | Artificial Intelligence In Learning Management Systems (LMS) | CLASSiC (Computational Learning in Adaptive Systems for Spoken Conversation) | Deep Learning & Dialog Systems | Learning Classifier & Dialog Systems | LMS (Learning Management System) & Dialog Systems | Machine Learning & Chatbots | Machine Learning & Dialog Systems | PLOW (Procedure Learning on the Web) | Reinforcement Learning Module | Rule Learning & Dialog Systems | Selectional Preference Learning
- bigml.com {related:}
- datumbox.com {related:}
- ersatz1.com {related:}
- precog.com {related:}
- skytree.net {related:}
- uclassify.com {related:}
- wise.io {related:}
- psi.cecs.anu.edu.au {related:}
- developers.google.com/prediction
Other Resources: