Java can handle large workloads, and even if it hits limitations, peripheral JVM languages such as Scala and Kotlin can pick up the slack. But in the world of data science, Java isn't always the go-to ...
Community driven content discussing all aspects of software development from DevOps to design patterns. Although R and Python are the dominant languages for developing AI and data science applications ...
The blogosphere is full of descriptions about how data science and “AI’ is changing the world. In financial services, applications include personalized financial offers, fraud detection, risk ...
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