New Oracle Machine Learning Features in 19c and 20c

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Here are links to blog posts and articles I’ve written about the new features of Oracle Machine Learning in 19c (and previous) and 20c.

I’ve given a presentation on these topics at ACES@Home and Yatra online conferences.

Each of the following links will explain each of the algorithms, and gives demo code for you to try.

  • RandomForest

https://oralytics.com/2020/06/24/randomforest-machine-learning-oracle-machine-learning-oml/

  • Neural Networks

https://developer.oracle.com/databases/neural-network-machine-learning.html

  • Time Series Forecasting

https://oralytics.com/2019/04/15/time-series-forecasting-in-oracle-part-1/

https://oralytics.com/2019/04/23/time-series-forecasting-in-oracle-part-2/

  • XGBoost

https://oralytics.com/2020/04/27/xgboost-in-oracle-20c/

  • Multivariate State Estimation Technique (MSET)

https://oralytics.com/2020/04/13/mset-multivariate-state-estimation-technique-in-oracle-20c/

  • Partitioned Models

https://oralytics.com/2020/07/13/partitioned-models-oracle-machine-learning-oml/

  • Parallel Model Creation

https://oralytics.com/2020/07/27/creating-oml-models-in-parallel/

 

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