Cloud based machine learning services are slowly getting adoption among data scientists. Here are a list of cloud based machine learning APIs that can be used to run specific machine learning algorithms on your data set.
Amazon Machine Learning
Amazon Machine Learning (Amazon ML) is a robust Amazon Web Services (AWS) machine learning platform that allows software developers to build and train predictive applications and host those applications in a scalable AWS cloud solution.
Amazon Machine Learning provides APIs for modeling and management that allow you to create, review, and delete data sources, models, and evaluations. This allows you to automate the creation of new models when new data becomes available. You can also use the APIs to inspect previous models, data sources, evaluations, and batch predictions for tracking and repeatability.
Amazon Machine Learning, developers can create models that predict values of binary attributes (binary classification), categorical attributes (multi-class classification), or numeric attributes (regression).
Watson Developer Cloud provides REST APIs and SDKs that use cognitive computing to solve complex problems. Cognitive services are adaptable, interactive, and contextual in the way they provide information.
IBM Watson offers following services
Speech to Text
Retrieve and Rank
Document Conversion
Tone Analyzer
Tradeoff Analytics
Relationship Extraction
Personality Insights
Visual Recognition
Visual Insights
Natural Language Classifier
Dialog
Text to Speech
Concept Expansion
Concept Insights
Language Translation
Google Prediction API
Google’s cloud-based machine learning tools can help analyze your data to add the following features to your applications:
Customer sentiment analysis
Spam detection
Message routing decisions
Upsell opportunity analysis
Document and email classification
Diagnostics
Churn analysis
Suspicious activity identification
Recommendation systems
Microsoft Azure Machine Learning APIs
Microsoft Azure Machine Learning APIs can help any developer create breakthrough apps and perform sophisticated data analysis without the need to be a data science expert.
The API lets you simply and quickly try advanced analytics features such as product recommendations, text analysis, and churn predictions on your own data.
Azure machine learning features APIs for
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Recommendations
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Text Analytics
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Customer Churn Prediction
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Face API
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Speech APIs
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Vision APIs
AlchemyAPI
AlchemyAPI lets users do Text analysis, Image analysis and Data analysis.
AlchemyAPI offers 12 API functions as part of its text analysis service like Entity Extraction, Sentiment Analysis, Keyword Extraction, Concept Tagging, Relation Extraction, Taxonomy Classification.
AlchemyVision API employs deep learning innovations to understand a picture’s content and context.
AlchemyVision sees complex visual scenes in their entirety—without needing any textual clues— leveraging a holistic approach to understanding the multiple objects and surroundings in common smartphone photos and online images.
AlchemyData provides news and blog content enriched with natural language processing to allow for highly targeted search and trend analysis.
BigML is a service for cloud-hosted machine learning and data analysis. Users can set up a data source, create a dataset, create a model from the dataset, and then make predictions based on the data. The BigML API allows developers to access and integrate the functionality of BigML with other applications and to create new applications. Public documentation is not available; API access comes with account and service.
