TheServerSide

False positives vs false negatives in machine learning

Community driven content discussing all aspects of software development from DevOps to design patterns. The key difference between a false positive and a false negative is that a false positive ...
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Java Trends Signal a Shift in Developer Learning Amid AI Surge

As the tech world charges into 2025, O'Reilly Media's latest report on its learning platform usage offers a deep dive into the shifting sands of software development education. Among the most ...
TheServerSide

The difference between precision vs. recall in machine learning

Community driven content discussing all aspects of software development from DevOps to design patterns. The key difference between recall and precision is that precision accounts for false positives, ...
InfoWorld

Oracle releases ML-optimized GraalVM for JDK 24

GraalVM JDK release features a new generation of ML-enabled profile inference that boosts peak performance nearly 8% on average on microservices benchmarks. Oracle has released GraalVM for JDK 24, an ...
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Logistic Regression Machine Learning Example ¦ Simply Explained

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...