In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Abstract: In Federated Learning, clients train models on local data and send updates to a central server, which aggregates them into a global model using a fusion algorithm. This collaborative yet ...

The Java ecosystem brings you unmatched speed and stability. Here’s our review of seven top-shelf Java microframeworks built for modern, lightweight application development. Java microframeworks are ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The AWS Certified Machine Learning Engineer Associate exam (MLA-C01) is designed for builders ...

Hey hey Rafaela Azevedo here !! For the past 17 years, I’ve worked as a software development engineer in test (SDET), specializing in QA, test automation, Web3, DevOps, and also monitoring and ...

Abstract: In software development, debugging is an essential but laborious process that frequently requires the manual discovery and correction of errors. The project aims to develop an automated bug ...

The ongoing proliferation of AI coding tools is not only boosting developers’ efficiency, it also signals a future where AI will generate a growing share of all new code. GitHub CEO Thomas Dohmke ...

Hi, we have a maven app, which is deployed to the mainframe, and we building our own application to fit Java Maven apps into our vscode workflow. So we need to debug java maven apps for quarkus (maybe ...

When you encounter a challenging issue, documenting your debugging process can be incredibly helpful. A structured approach keeps your thoughts organized, helps you track the steps you’ve already ...