Machine Learning (General)
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- 📁 Data Science Frameworks (9)
- Amazon EMR Studio - A Jupyter Notebooks-based IDE for data engineers to develop, visualise, and debug big data and analytics applications written in R, Python, Scala, and PySpark. It also integrates tools such as Spark UI and YARN Timeline Service to simplify debugging. 🌐
- Top > Transversal > Cloud > Cloud Platforms > AWS > AWS Services
- Amazon Forecast - A machine learning service that combines time series data with additional variables to build forecasts. Based on the same technology as Amazon.com. 🌐
- Amazon Monitron - An end-to-end system that uses machine learning (ML) to detect abnormal behaviour (using sensors to capture vibration and temperature data from equipment) in industrial machinery, enabling to implement predictive maintenance and reduce unplanned downtime. 🌐
- Amazon QuickSight Q - A machine learning (ML) powered capability that uses natural language processing to answer business questions upon data. 🌐
- Top > Transversal > Cloud > Cloud Platforms > AWS > AWS Services
- Amazon SageMaker - Amazon SageMaker is a managed machine learning (ML) solution offering frameworks such as MXNet, TensorFlow, and Chainer, among others. 🌐
- Google AI Platform - A platform to train machine learning models at scale, by hosting trained models in the cloud, and using said models to make predictions about new data. 🌐
- H2O - An ell-encompassing ML platform that is popular in the financial sector. 🌐
- OpenScoring - An open source engine to execute models produced using the likes of Apache Spark, R and Scikit-Learn. It uses the PMML XML format. It also offers conversion tools as well as actual "scoring" capabilities. 🌐
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