ML Algorithms in OAC

Prakash Malmarugan-71506

Summary

List of ML algorithms provided in Oracle Analytics Cloud

Content

Hi,

I would like to know what are the ML algorithms that are available in the latest version of OAC. Are there any new additions? I am specifically looking for algorithms like Singular Value Decomposition and Tree based algorithms. Or does Oracle Big Data Cloud Service supports any ML algorithms?

Thanks in advance.

Jeffy Joseph

Hi Prakash,

The list of ML algorithms available on OAC are:

CART, Elastic Net, Linear regression, Random Forest,

Naive Bayes,Neural Network,SVM, Logistic Regression, 

Hierarchial Clustering, K-means Clustering and inbuilt sentiment analysis model.

Specifically speaking, the Random Forest algorithm can be used for your purpose as it is Tree based and can be used for numerical model training as well as classification.

 

Prakash Malmarugan-71506

Hi Jeffy,

Thanks for the input. This was really helpful. I will definitely look for these algorithms. I am currently working on a recommendation engine (Collaborative based) using Python. I would like to know whether I can build a similar one using OAC. Also, in one of the Oracle webinars the host mentioned that algorithms like SVD, Anomaly Detection etc., are also available in Oracle platform so please let me know under which Oracle service these algorithms are available if possible.

Jeffy Joseph

Hi Prakash,

OAC supports custom scripting to build your own models. 

Regarding SVD and anomaly detection they are available under the DBMS_DATA_MINING package.

You can use the package by leveraging Oracle Machine Learning which is a part of the Autonomous Datawarehouse or Autonomous Transaction Processing service.

HTH