automated machine learning...promises of automation •decreases costs for practicing data science...
TRANSCRIPT
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Automated Machine Learning
With H2O Driverless AI
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H2O Driverless AI
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Promises of Automation
• Decreases costs for practicing data science
• Shortens time-to-value
• Enforces standards and best practices
• Frees people to focus on more subtle and
complex tasks
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Demo
H2O Driverless AI
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Public Automatic Machine Learning ResourcesReferences
Deep Feature Synthesis: Towards Automating Data Science Endeavorshttps://groups.csail.mit.edu/EVO-DesignOpt/groupWebSite/uploads/Site/DSAA_DSM_2015.pdfCSAIL, MIT
Efficient and Robust Automated Machine Learninghttps://pdfs.semanticscholar.org/775a/4e375cc79b53b94e37fa3eedff481823e4a6.pdfDepartment of Computer Science, University of Freiburg, Germany
Using Machine Learning to Explore Neural Network Architecturehttps://ai.googleblog.com/2017/05/using-machine-learning-to-explore.htmlGoogle
AutoML: Automatic Machine Learninghttp://docs.h2o.ai/h2o/latest-stable/h2o-docs/automl.htmlH2O.ai
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Public Automatic Machine Learning ResourcesSoftware
Data ExplorationPandas Profiler: https://github.com/pandas-profiling/pandas-profiling
Feature EngineeringFeature Tools: https://index.pocketcluster.io/featuretools-featuretools.html
ModelingAuto-Sklearn: https://automl.github.io/auto-sklearn/stable/H2O.ai AutoML: https://www.h2o.ai/download/
PipelinesTPOT: https://github.com/EpistasisLab/tpotATM: https://github.com/HDI-Project/ATM