bigml BigML is a consumable programmable and scalable Machine Learning platform that makes it easy to solve and automate Classification Regression Time Series Forecasting Cluster Analysis Anomaly Detection Association Discovery
BigML is a consumable programmable and scalable Machine Learning platform that makes it easy to solve and automate Classification Regression Time Series Forecasting Cluster Analysis Anomaly Detection Association Discovery and Topic Modeling tasks BigML is helping thousands of analysts software developers and scientists around the Simply stated BigML makes Machine Learning simple elegant easy to integrate deploy measure and automate In other words BigML is Machine Learning for everyone
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BigML is a machine learning platform designed to enable developers to build enterprise level applications that are capable of real time predictions BigML provides a selection of robustly engineered Machine Learning algorithms proven to solve real world problems by applying a single standardized framework
These BigML Python bindings allow you interacting with BigML io the API for BigML You can use it to easily create retrieve list update and delete BigML resources i e sources datasets models and predictions OptiML is BigML s automated smart process to search for the Supervised Model that optimizes the evaluation metric of choice But how does it work for Imbalanced Datasets
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BigML is the first Machine Learning service offering Association Discovery in the cloud Association Discovery also called associations is a well known method to find interesting associations between values rather than variables in high dimensional datasets BigML is a consumable programmable and scalable Machine Learning platform that makes it easy to solve and automate Classification Regression Time Series Forecasting Cluster Analysis Anomaly Detection Association Discovery
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bigml - These BigML Python bindings allow you interacting with BigML io the API for BigML You can use it to easily create retrieve list update and delete BigML resources i e sources datasets models and predictions