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93 items from h2oai/awesome-h2o ★393

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    Szilard's machine learning benchmark github.com
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    Understanding random forests: from theory to practice github.com
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    GWU: Data Mining (Decision Sciences 6279) github.com
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    UCLA: Tools in Data Science (STATS 418) github.com
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    Forecast the US demand for electricity github.com
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    Spark in Action manning.com

    New book in the Manning's "in action" family with +400 pages. Starts gently, step-by-step and covers large number of topics. Free excerpt on how to setup Eclipse for Spark application development and how to bootstrap a new application using the provided Maven Archetype. You can…

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    h2oparsnip R package github.com
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    Spin up PySpark and PySparkling on AWS github.com
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    splash R package github.com
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    Evaporate github.com
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    h2o3-pam github.com
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    h2o3-gapstat github.com
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    Hands on Time Series with R www2.packtpub.com
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    Computer Age Statistical Inference: Algorithms, Evidence, and Data Science web.stanford.edu
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    Machine Learning Methods to Perform Pricing Optimization. A Comparison with Standard GLMs variancejournal.org
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    Visualizing ML Models with LIME uc-r.github.io
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    University of Oslo: Introduction to Automatic and Scalable Machine Learning with H2O and R ub.uio.no
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    Artificial Intelligence Made Easy with H2O.ai: A Comprehensive Guide to Modeling with H2O.ai and AutoML in Python towardsdatascience.com
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    Inferring passenger types from commuter eigentravel matrices tandfonline.com
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    University of Cape Town: Analytics Module stats.uct.ac.za
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    Scalable ensemble learning and computationally efficient variance estimation stat.berkeley.edu
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    Machine learning with H2O.ai speakerdeck.com
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    Pipelines for model deployment slideshare.net
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    Autoencoders and anomaly detection with machine learning in fraud analytics shiring.github.io
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    Building deep neural nets with h2o and rsparkling that predict arrhythmia of the heart shiring.github.io
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    Predicting food preferences with sparklyr (machine learning) shiring.github.io
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    Automated machine learning: AI-driven decision making in business analytics sciencedirect.com
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    Human actions recognition in video scenes from multiple camera viewpoints sciencedirect.com
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    Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500 sciencedirect.com
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    Which model to choose? Performance comparison of statistical and machine learning models in predicting PM2.5 from… sciencedirect.com
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