5 Different Ways to Build ML Models!
Last Updated on July 24, 2023 by Editorial Team
Author(s): Deepak Sekar
Originally published on Towards AI.
We have come across data science platforms and ML offerings targeted for expert audiences who have Python/ R/ Matlab..etc skills and who understand algorithms/ kernels..etc.
But, what if people who understand data very well but do not have expert skills also need to explore the AI/ ML world?
5 ways to build ML models in the Oracle World are
- Oracle Cloud Infrastructure Data Flow β https://www.oracle.com/big-data/data-flow/
- Oracle Analytics Cloud (OAC) β https://www.oracle.com/au/business-analytics/analytics-cloud.html
- Oracle Machine Learning (OML)-https://www.oracle.com/database/technologies/datawarehouse-bigdata/machine-learning.html
- Oracle Autonomous Database β https://www.oracle.com/au/database/autonomous-database.html
- Oracle Cloud Infrastructure Data Science β https://www.oracle.com/data-science/cloud-infrastructure-data-science-product.html
In this article, we see how to build a binary classification model in 3 different ways using the same data source. Based on the interest (medium claps) I will then extend this article to include the other 2 ways
Data Source β Oracle Autonomous Database
Binary Classification ML Model using:
- Using SQL/ PLSQL in the Oracle Database (Build in the database and execute in the database β move the code and not the data)
- Using Oracle Analytics Cloud (Build where data is being analyzed and visualized β BI/ Viz)
- Using Oracle Cloud Infrastructure Data Science (Build in a dedicated Data Science Environment)
Using Apache Zeppelin notebooks using SQL/ PLSQL in the Oracle Autonomous Database
Using Oracle Analytics Cloud
Using Oracle Cloud Infrastructure Data Science
I have covered this in the below article
Three things that matter in Data Science β What? How? Why?
In my previous articleβ¦
medium.com
Welcome to the world of data science done right!
Please donβt forget to clap if you liked this article π
The views expressed are those of the author and not necessarily those of Oracle. Contact Deepak Sekar
Additional References
https://www.oracle.com/database/technologies/datawarehouse-bigdata/machine-learning.html
https://www.oracle.com/database/technologies/advanced-analytics/odm-techniques-algorithms.html
https://docs.cloud.oracle.com/en-us/iaas/data-science/using/data-science.htm
https://www.oracle.com/data-science/cloud-infrastructure-data-science-product.html
https://docs.cloud.oracle.com/en-us/iaas/tools/ads-sdk/latest/user_guide/overview/overview.html
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Published via Towards AI