Data science, data mining, and machine learning are hot topics right now. There are many articles and blog posts on how to detect anomalies and predict future events based on past results.
Data mining, machine learning and artificial intelligence are simply algorithms. They use statistics to analyze your data and applying your questions to provide probable answers.
But getting started can be a daunting task. Do you learn Python first, or how to program in R? And how do you get your data into the programs you create?
Oracle’s Charlie Berger believes that a better approach is to move the algorithms to the data, and perform data mining in the database. Oracle SQL Developer is a well known tool for connecting to an Oracle Database to perform administrative tasks, and it can do much more. Oracle Machine Learning User Interface (Data Miner), included in Oracle SQL Developer, provides a simple drag-and-drop interface you can use to perform complex analytics on your data.
In this new learning path, Get Started with Oracle Machine Learning User Interface you use sample data and schemas built into Oracle Database 19c to do your own data mining. You’ll get a chance to mine text data to determine the probability customers will shop using their affinity card. You’ll also use regression analysis and predictive queries, and detect anomalies. Finally, you’ll see how you can mine JSON data directly.
Check it out – the learning path includes instructions on setting up your Data Miner account and using the features built into SQL Developer.
Let us know what you think!